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Публикации сотрудников лаборатории ЛАТАС

Правила аффилиации

Решением Ученого совета НИУ ВШЭ было принято решение о единой аффилиации иноязычных статей. При публикации академических текстов на другом языке, название университета нужно указывать следующим образом:

National Research University Higher School of Economics

Это наименование университета должно использоваться сотрудниками всех кампусов Вышки. Название города (Moscow, Nizhny Novgorod, Saint Petersburg, Perm) указывается лишь в строке полного почтового адреса.
Например: National Research University Higher School of Economics, 136 Rodionova St., Nizhny Novgorod 603093, Russia

 Правила аффиляции

 

2016

Journal Publications: 

Cinar D., Oliveira J.A., Tupcu Y.I., Pardalos P. M. A Priority-based genetic algorithm for a flexible job shop scheduling problem // Journal of Industrial and Management Optimization. 2016. Vol. 12. Number 4. P. 1391-1415. doi: 10.3934/jimo.2016.12.1391 (Q2).

Grines V., Malyshev D., Pochinka O., Zinina S. Efficient algorithms for the recognition of topologically conjugate gradient-like diffeomorhisms // Regular and Chaotic Dynamics. 2016. Vol. 21. No. 2. P. 189-203. (Q2).

Komosko L., Batsyn M., Segundo P. S., Pardalos P. M. A fast greedy sequential heuristic for the vertex colouring problem based on bitwise operations // Journal of Combinatorial Optimization. 2016. Vol. 31. Issue 4. pp 1665-1677. doi: 10.1007/s10878-015-9862-1 (Q1-Q2)

Li J., Li Y., Pardalos P.M. Multi-depot vehicle routing problem with time windows under shared depot resources // Journal of Combinatorial Optimization. 2016. Vol. 31. Issue 2. P. 515-532. doi: 10.1007/s10878-014-9767-4 (Q1-Q2)

 

Malyshev D. Polynomial-time approximation algorithms for the coloring problem in some cases // Journal of Combinatorial Optimization. 2016. P. 1-5. ( Q1-Q2). 

Malyshev D., Pardalos P. M. Critical hereditary graph classes: a survey // Optimization Letters. 2016. Vol. 10. P. 1-20. doi: 10.1007/s11590-015-0985-1 (Q2)

San Segundo, P., Lopez, A., Batsyn, M., Nikolaev, A., & Pardalos, P. M. (2016). Improved initial vertex ordering for exact maximum clique search.  Applied Intelligence (published on-line), (Q2). 

San Segundo, P., Nikolaev, A., Batsyn, M., & Pardalos, P. M. (2016). Improved Infra-Chromatic Bound for Exact Maximum Clique Search. Informatica, 27(2), 463-487 (Q2).

Gribanov D.V., Veselov S.I. On integer programming with bounded determinants // Optimization Letters. 2016, V. 10, No 6.  P. 1169—1177  (Q2).

Gribanov D.V., Chirkov A.Y. The width and integer optimization on simplices with bounded minors of the constraint matrices // Optimization Letters. 2016.  V. 10, No 6. P. 1179—1189 (Q2).  

Kalyagin V.A., Koldanov A.P.,  Koldanov P.A. Robust identification in random variables networks. Journal of Statistical Planning and Inference (Accepted for publication), (Q2).

Koldanov P.A. · Kalyagin V.A.  Bautin G.A. On some statistical procedures for stock selection problem, Annals of Mathematics and Artificial Intelligence (2016),  v.76, pp. 47–57. DOI 10.1007/s10472-014-9447-1 (Q2).

Borrero Juan Sebastian, Gillen Colin,  Prokopyev Oleg A. A simple technique to improve linearized reformulations of fractional (hyperbolic) 0-1 programming problems.Operations Research Letters  44(4): 479-486 (2016), (Q2).

Savchenko A.V. The maximal likelihood enumeration method for the problem of classifying piecewise regular objects // Automation and Remote Control, 2016, Vol. 77, No. 3, pp. 443-450 (Q3).

Savchenko A.V., Milov V.R. The Adaptive Approach to Abnormal Situations Recognition Using Images from Condition Monitoring Systems, Optical Memory and Neural Networks(Information Optics), 2016, vol. 25, no. 2, pp. 79–87 (Q2).

Savchenko A.V. Maximum-Likelihood Approximate Nearest Neighbor Method in Real-time Image Recognition // Pattern Recognition. – 2016,http://www.sciencedirect.com/science/article/pii/S003132031630228X (accepted for publication), (Q1).

Malkov YA, Ponomarenko A (2016) Growing Homophilic Networks Are Natural Navigable Small Worlds. PLoS ONE   11(6): e0158162. doi:10.1371/journal.pone.0158162, (Q1). 

Proceedings:

Kalyagin V.A., Koldanov A.P., and Koldanov P.A. Robust identification of subgraphs in a complete weighted graph associated with a set of random variables. Proceedings of DOOR 2016 Conference, special issue of CEUR Workshop Proceedings, v.1623, pp.35-38,http://ceur-ws.org/Vol-1623/ (Scopus:Computer Science).

Savchenko A.V., Milov V.R. Classification of Dangerous Situations for Small Sample Size Problem in Maintenance Decision Support Systems // Proceedings of the 5th Int. Conf. on Analysis of Images, Social Networks, and Texts (AIST 2016), Communications in Computer and Information Science (CCIS). Yekaterinburg (Russia). 2016 (in print), Web of Science (Q4), Scopus (Q4).

Savchenko A.V. Pattern Classification with the Probabilistic Neural Networks based on Orthogonal Series Kernel // In Advances in Neural Networks. Proc. of Int. Symp. on Neural Networks (ISNN 2016), Lecture Notes in Computer Science (LNCS).– 2016.– Vol. 9719.– P. 505-512, Web of Science (Q4), Scopus (Q3)

Irina Utkina, Mikhail Batsyn, Ekaterina Batsyna. A branch and bound algorithm for a fractional 0-1 programming problem. Discrete Optimization and Operations Research,Theoretical Computer Science and General Issues,  v.9869, pp. …..Editors: Kochetov, Y., Khachay, M., Beresnev, V., Nurminski, E., Pardalos, P.

DOI 10.1007/978-3-319-44914-2 (Scopus).

Mokeev D.B. Pq-König extended forests and cycles. Proceedings of DOOR 2016 Conference, special issue of CEUR Workshop Proceedings, v.1623, pp.86-95,

http://ceur-ws.org/Vol-1623/ (Scopus:Computer Science).

Anton Kocheturov and Panos M. Pardalos Data Science for Massive Networks, Springer International Publishing Switzerland 2016, P. Braslavski et al. (Eds.): RuSSIR 2015, CCIS 573, pp. 88–100, 2016. DOI: 10.1007/978-3-319-41718-9 2  (Scopus)

Tiago Schieber, Martin Ravetti, and Panos M. Pardalos A Review on Network Robustness from an Information Theory Perspective,Theoretical Computer Science and General Issues,  v.9869, pp. …..Editors: Kochetov, Y., Khachay, M., Beresnev, V., Nurminski, E., Pardalos, P. DOI 10.1007/978-3-319-44914-2  (Scopus).

2015

Kocheturov A., Batsyn M., Pardalos P. M. Dynamics of Cluster Structures in Stock Market Networks // Journal of the New Economic Association. 2015.Vol. 4. Issue 28. P. 12-30.

Chistyakov V. V. Metric Modular Spaces // Springer International Publishing, 2015. doi: 10.1007/978-3-319-25283-4

Wang X., Pardalos P. M. A modified active set algorithm for transportation discrete network design bi-level problem // Journal of Global Optimization. 2015. P. 1-18. doi: 10.1007/s10898-015-0396-y

Wang X., Fan N., Pardalos P.M.,   Robust chance-constrained support vector machines with second-order moment information // Annals of Operations Research. 2015. P. 1-24.

Wang L., Ni H., Yang R., Pardalos P.M., Jia L., Fei M.   Intelligent virtual reference feedback tuning and its application to heat treatment electric furnace control // Engineering Applications of Artificial Intelligence. 2015. Vol. 46. Part A. P. 1-9.

Pei J., Liu X., Pardalos P.M., Fan W., Wang L., Yang S.   Solving a supply chain scheduling problem with non-identical job sizes and release times by applying a novel effective heuristic algorithm // International Journal of Systems Science. 2015. Vol. 47. No. 4. P. 765-776.

Tong G., Wu W., Pardalos P. M., Du D.-Z.  On positive-influence target-domination // Optimization Letters. 2015. doi:10.1007/s11590-015-0938-8

Žilinskas J., Goldengorin B. I., Pardalos P. M. Pareto-optimal front of cell formation problem in group technology // Journal of Global Optimization. 2015. Vol. 61. No. 1. P. 91-108.

V.A. Kalyagin, A.P. Koldanov, P.M. Pardalos On multivariate network analysis of statistical data sets with different measures of association // Annals of Mathematics and Artificial Intelligence. 2015. doi:10.1007/s10472-015-9464-8

Malyshev D. Two cases of polynomial-time solvability for the coloring problem (doi: 10.1007/s10878-014-9792-3) // Journal of Combinatorial Optimization. 2015

Malyshev D. The complexity of the 3-colorability problem in the absence of a pair of small forbidden induced subgraphs // Discrete Mathematics. 2015. Vol. 338. P. 1860-1865.

Malyshev D., Pardalos P. M. The clique problem for graphs with a few eigenvalues of the same sign // Optimization Letters. 2015. Vol. 9. No. 5. P. 839-843.

Lozin V. V., Malyshev D., Vertex coloring of graphs with few obstructions // Discrete Applied Mathematics. 2015. doi:10.1016/j.dam.2015.02.015

Goldengorin B., Malyshev D., Pardalos P. M., Zamaraev V. A. A tolerance-based heuristic approach for the weighted independent set problem // Journal of Combinatorial Optimization. 2015. Vol. 29. No. 2. P. 433-450.

Chistyakov V. V., Pardalos P. M. Stability Analysis in Discrete Optimization Involving Generalized Addition Operations // Journal of Optimization Theory and Applications. 2015. Vol. 167. No. 2 P. 585-616.

Глава книги Belenky A., Egorova L. G. An Approach to Forming and Managing a Portfolio of Financial Securities by Small and Medium Price-Taking Traders in a Stock Exchange.  In: Modelling, Computation and Optimization in Information Systems and Management Sciences. Proceedings of the 3rd International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences - MCO 2015 - Part II. International Publishing, 2015. P. 257-268.

Препринт Belenky A., Egorova L. G. Две модели принятия решений участником торгов на фондовой бирже по формированию и изменению своего инвестиционного портфеля / Working papers by Издательский дом ВШЭ. Series WP7 "Математические методы анализа решений в экономике, бизнесе и политике". 2015. No. WP7/2015/02

Pei J., Liu X., Pardalos P. M., Fan W., Yang S. Single machine serial-batching scheduling with independent setup time and deteriorating job processing times // Optimization Letters. 2015. Vol. 9. No. 1. P. 91-104.

Pei J., Pardalos P. M., Liu X., Fan W., Yang S. Serial batching scheduling of deteriorating jobs in a two-stage supply chain to minimize the makespan // European Journal of Operational Research 2015 Vol. 244, Issue 1, Pages 13–25.

Li J., Pardalos P. M., Sun H., Pei J., Zhang Y. Iterated local search embedded adaptive neighborhood selection approach for the multi-depot vehicle routing problem with simultaneous deliveries and pickups // Expert Systems with Applications. 2015. Vol. 42. No. 7. P. 3551-3561.

Wang L., Yang R., Ni H., Ye W., Fei M., Pardalos P. M. A human learning optimization algorithm and its application to multi-dimensional knapsack problems // Applied Soft Computing Journal. 2015. doi:10.1007/s40745-014-0022-8

2014

Preemptive scheduling in a two-stage supply chain to minimize the makespan
Jun Pei, Wenjuan Fan, Panos M. Pardalos, Xinbao Liu, Boris Goldengorin, Shanlin Yang.   J. Optimization Methods and Software. Taylor & Francis Group, 2014. DOI:10.1080/10556788.2014.969262

Characteristics of Spatial Synchronization of Encephalograms in Left- and Right-Handed Subjects in Resting State and During Cognitive Testing: a Graph-Theory Analysis
Lukoyanov M.V., Grechikhin I.S., Kalyagin V.A., Pardalos P.M., Mukhina I.V..  J. Modern Technologies in Medicine, 2014. Vol. 6, No. 2, pp. 6-13

Clusters, Orders, and Trees: Methods and Applications. In Honor of Boris Mirkin's 70th Birthday
Fuad T. Aleskerov, Boris I. Goldengorin, Panos M. Pardalos (Eds.).   Optimization and Its Applications, Vol. 92. Springer, 2014, 404 p.

Heuristics for Minimum Spanning K-tree Problem
Roman E. Shangin, Panos M. Pardalos. In: Shi, Y., Lepskiy, A., Aleskerov, F.(Eds.): 2nd International Conference on Information Technology and Quantitative Management, ITQM 2014.   Procedia Computer Science, Vol. 31, 2014, pp. 1074–1083

The clique problem for graphs with a few eigenvalues of the same sign
D. Malyshev, P. M. Pardalos.  Optimization Letters, 2014. doi: 10.1007/s11590-014-0805-z

Dynamics of cluster structures in a financial market network
Anton Kocheturov, Mikhail Batsyn, Panos M. Pardalos.  Physica A: Statistical Mechanics and its Applications, 2014. Vol. 413, pp. 523-533

Measures of uncertainty in market network analysis
V.A. Kalyagin, A.P. Koldanov, P.A. Koldanov, P.M. Pardalos, V.A. Zamaraev.  Physica A: Statistical Mechanics and its Applications, 2014. Vol. 413, pp. 59-70

The Theory of Set Tolerances
Gerold Jäger, Boris Goldengorin, Panos M. Pardalos. In: Pardalos P.M, Resende, M.G.C., Vogiatzis, C., Walteros, J.L. (Eds.): Learning and Intelligent Optimization. 8th International Conference, Lion 8, Gainesville, FL, USA, February 16-21, 2014. Revised Selected Papers.   Lecture Notes in Computer Science, Vol. 8426, pp.362-377. Springer-Verlag, 2014

Robust Support Vector Machines with Polyhedral Uncertainty of the Input Data
Neng Fan, Elham Sadeghi, Panos M. Pardalos. In: Pardalos P.M, Resende, M.G.C., Vogiatzis, C., Walteros, J.L. (Eds.): Learning and Intelligent Optimization. 8th International Conference, Lion 8, Gainesville, FL, USA, February 16-21, 2014. Revised Selected Papers.   Lecture Notes in Computer Science, Vol. 8426, pp.291-305. Springer-Verlag, 2014

Multiple Decision Problem for Stock Selection in Market Network
Koldanov P.A., Bautin G. A. In: Pardalos P.M, Resende, M.G.C., Vogiatzis, C., Walteros, J.L. (Eds.): Learning and Intelligent Optimization. 8th International Conference, Lion 8, Gainesville, FL, USA, February 16-21, 2014. Revised Selected Papers.   Lecture Notes in Computer Science, Vol. 8426, pp.98-110. Springer-Verlag, 2014

A General Approach to Network Analysis of Statistical Data Sets
Kalyagin A. Valery, Alexander P. Koldanov, Panos M. Pardalos.   In: Pardalos, P.M., Resende, M.G.C., Vogiatzis, C., Walteros, J.L. (Eds.) Learning and Intelligent Optimization. Lecture Notes in Computer Science, Vol. 8426, pp 88-97. Springer-Verlag Berlin Heidelberg (2014)

Learning and Intelligent Optimization. 8th International Conference, Lion 8, Gainesville, FL, USA, February 16-21, 2014. Revised Selected Papers
Pardalos, P.M., Resende, M.G.C., Vogiatzis, C., Walteros, J.L. (Eds.)  Lecture Notes in Computer Science, Vol. 8426. Springer-Verlag Berlin Heidelberg, 2014, 392 p.

Network Models in Economics and Finance
Kalyagin A. Valery, Panos M. Pardalos, Themistocles M. Rassias (Eds.).   Springer-Verlag, 2014, 312 p. ISBN 978-3-319-09682-7

Social Networks and the Economics of Sports
Panos M. Pardalos,  Victor A. Zamaraev (Eds.).   Springer-Verlag, 2014, 169 p. ISBN 978-3-319-08439-8

Solving maximum clique in sparse graphs: an O(nm+n2(d/4)) algorithm for d-degenerate graphs
Buchanan, A., Walteros, J.L.,&nbspButenko, S.,&nbspPardalos, Panos M.   Optimization Letters, 2014. Vol. 8. Issue 5. Pp. 1611-1617

Mathematics without boundaries. Surveys in Pure Mathematics
Pardalos, Panos M.,  Rassias, Themistocles M. (Eds.)   Springer-Verlag, 2014, 783 p. ISBN 978-1-4939-1105-9

Mathematics without boundaries. Surveys in Interdisciplinary Research
Pardalos, Panos M.,  Rassias, Themistocles M. (Eds.)   Springer-Verlag, 2014, 550 p. ISBN 978-1-4939-1123-3

Bounds on end-to-end statistical delay and jitter in multiple multicast coded packet networks
Raayatpanaha M.A.,  Salehi Fathabadi H., Khalaj B.H., Khodayifar S., Pardalos P. M.   Journal of Network and Computer Applications, 2014, № 41, 217–227.

Efficient Computation of Tolerances in the Weighted Independent Set Problem for Some Classes of Graphs
Malyshev D., Pardalos P. M. Doklady Mathematics, 2014, volume 89, № 2, 253–256.

Numerical Methods and Optimization: An Introduction
Sergiy Butenko,  Panos M. Pardalos.  Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series, 2014. ISBN 978-1-4665-7777-0

Network approach for the Russian stock market
Vizgunov Arsenii , Goldengorin B., Kalyagin V. A., Koldanov A. P., Koldanov P.A., Pardalos P. M. Computational Management Science. 2014. Vol. 11. No. 1-2. P. 45-55

Optimal Multiple Decision Statistical Procedure for Inverse Covariance Matrix 
Koldanov A. P., Koldanov P.A. Springer Optimization and Its Applications. 2014. Vol. 87. P. 205-216.

Constructive Nonsmooth Analysis and Related Topics 
Ed: Vladimir Demyanov, Panos M. Pardalos, Mikhail Batsyn. Vol. 87. NY : Springer, 2014.

Exact Model for the Cell Formation Problem 
Ilya Bychkov, Mikhail Batsyn, Panos M. Pardalos. Optimization Letters. 2014. No. DOI 10.1007/s11590-014-0728-8

Online heuristic for the preemptive single machine scheduling problem of minimizing the total weighted completion time 
Mikhail Batsyn, Boris Goldengorin, Panos M. Pardalos, Pavel Sukhov. Optimization Methods and Software. 2014. No. DOI:10.1080/10556788.2013.854360

Speeding up branch and bound algorithms for solving the maximum clique problem 
Evgeny Maslov, Mikhail Batsyn, Pardalos P. M. Journal of Global Optimization. 2014. No. DOI 10.1007/s10898-013-0075-9

Boundary graph classes for some maximum induced subgraph problems 
Malyshev D.  Journal of Combinatorial Optimization. 2014. Vol. 27. No. 2. P. 345-354.

The coloring problem for classes with two small obstructions 
Malyshev D.  (doi: 10.1007/s11590-014-0733-y) Optimization Letters. 2014

Feature selection based on meta-heuristics for biomedicine 
Ling Wang, Haoqi Ni, Ruixin Yang, Vijay Pappu, Michael B. Fenn, Panos M. Pardalos. Optimization Methods and Software 29(4): 703-719 (2014)

A combined greedy-walk heuristic and simulated annealing approach for the closest string problem
Elisa Pappalardo, Domenico Cantone, Panos M. Pardalos. Optimization Methods and Software 29(4): 673-702 (2014)

Abstract dynamic programming
Panos M. Pardalos. Optimization Methods and Software 29(3): 671-672 (2014)

On the optimization properties of the correntropic loss function in data analysis 
Mujahid N. Syed, Panos M. Pardalos, Jose C. Principe. Optimization Letters 8(3): 823-839 (2014)

Routing-efficient CDS construction in Disk-Containment Graphs
Zaixin Lu, Lidong Wu, Panos M. Pardalos, Eugene Maslov, Wonjun Lee, Ding-Zhu Du. Optimization Letters 8(2): 425-434 (2014)

Improvements to MCS algorithm for the maximum clique problem
Mikhail Batsyn, Boris Goldengorin, Evgeny Maslov, Panos M. Pardalos. J. Comb. Optim. 27(2): 397-416 (2014)

Integer programming models for the multidimensional assignment problem with star costs.
Jose L. Walteros, Chrysafis Vogiatzis, Eduardo L. Pasiliao, Panos M. Pardalos. European Journal of Operational Research 235(3): 553-568 (2014)

A hierarchical approach for sparse source Blind Signal Separation problem
Mujahid N. Syed, Pando G. Georgiev, Panos M. Pardalos. Computers & OR 41: 386-398 (2014)



2013

Quadratic Assignment Problem
Alla Kammerdiner, Theodoros Gevezes, Eduardo Pasiliao, Leonidas Pitsoulis, Panos M. Pardalos, Encyclopedia of Operations Research and Management Science, 2013, pp 1193-1207

Global Optimization
Hoang Tuy, Steffen Rebennack, Panos M. Pardalos. Encyclopedia of Operations Research and Management Science, 2013, pp 650-658

Solving maximum clique in sparse graphs: an O(nm+n2d/4) algorithm for d-degenerate graphs
Austin Buchanan, Jose L. Walteros, Sergiy Butenko, Panos M. Pardalos. Optimization Letters, 2013. DOI 10.1007/s11590-013-0698-2

A Python/C++ library for bound-constrained global optimization using a biased random-key genetic algorithm
R. M. A. Silva, M. G. C. Resende, P. M. Pardalos. Journal of Combinatorial Optimization, 2013, DOI 10.1007/s10878-013-9659-z.

Invexity of the Minimum Error Entropy Criterion
M. Syed, P. Pardalos, J. Principe. Signal Processing Letters, IEEE, 2013, Vol 20, No 12 (Dec 2013), pp 1159-1162.

Global Optimization
Huang Tuy, Steffen Rebennack, and Panos M. Pardalos. In: S. Gass, M. Fu (Eds.), Encyclopedia of Operations Research and Management Science, Springer, 2013, pp 650-658.

Quadratic Assignment Problem
Alla Kammerdiner, Theodoros Gevezes, Eduardo Pasiliao, Leonidas Pitsoulis, and Panos M. Pardalos. In: S. Gass, M. Fu (Eds.), Encyclopedia of Operations Research and Management Science, Springer, 2013, pp 1193-1207.

Application of an effective modified gravitational search algorithm for the coordinated scheduling problem in a two-stage supply chain
Jun Pei, Xinbao Liu, Panos M. Pardalos, Winjuan Fan, Shanlin Yang, Ling Wang, The International Journal of Advanced Manufacturing Technology, September 2013

Combinatorial Optimization in Transportation and Logistics Networks
Chrysafis Vogiatzis, Panos M. Pardalos, Handbook of Combinatorial Optimization, 2013, pp 673-722

Fuzzy Combinatorial Optimization Problems
Panos M. Pardalos, Emel Kızılkaya Aydogan, Feyza Gurbuz, Ozgur Demirtas, Birce Boga Bakirli, Handbook of Combinatorial Optimization, 2013, pp 1357-1413

Neural Network Models in Combinatorial Optimization
Mujahid N. Syed, Panos M. Pardalos, Handbook of Combinatorial Optimization, 2013, pp 2027-2093

Small World Networks in Computational Neuroscience
Dmytro Korenkevych, Jui-Hong Chien, Jicong Zhang, Deng-Shan Shiau, Chris Sackellares, Panos M. Pardalos,  Handbook of Combinatorial Optimization, 2013, pp.3057-3088

Optimization Approaches for Solving String Selection Problems
Pappalardo, Elisa, Pardalos, Panos M., Stracquadanio, Giovanni, Springer Briefs in Optimization, XV, 60 p. 

Constructive Nonsmooth Analysis and Related Topics
Demyanov, Vladimir; Pardalos, Panos M.; Batsyn, Mikhail, Springer Optimization and Its Applications, Vol. 87,VIII, 273 p. 31 illus., 7 illus. in color

Feature selection based on meta-heuristics for biomedicine
Ling Wang, Haoqi Ni, Ruixin Yang, Vijay Pappu, Michael B. Fenn and Panos M. Pardalos, DOI: 10.1080/10556788.2013.834900, 12 Aug 2013

A Combined Greedy-Walk Heuristic and Simulated Annealing Approach for the Closest String Problem
Elisa Pappalardo, Domenico Cantonebe, and Panos M. Pardalos,Optimization Methods and Software (2013), DOI:10.1080/10556788.2013.833616

Prediction of electricity energy consumption of Turkey via artificial bee colony: a case study
Feyza Gurbuz, Celal Ozturk and Panos Pardalos. Energy Systems, September 2013, Volume 4, Issue 3, pp 289-300

Maximum lifetime connected coverage with two active-phase sensors
Hongwei Du, Panos M. Pardalos,Weili Wu,Lidong Wu, J. Global Optimization 56(2), pp. 559-568 (2013)

D-optimal matrices via quadratic integer optimization
Ilias S. Kotsireas,Panos M. Pardalos, J. Heuristics 19 (4), pp. 617-627 (2013)

Biased random-key genetic algorithm for linearly-constrained global optimization
Ricardo Martins de Abreu Silva, Mauricio G.C. Resende, Panos M. Pardalos, Joao L. Faco. ProceedingGECCO '13 Companion Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion. PP. 79-80. ACM New York, NY, USA.2013 ISBN: 978-1-4503-1964-5.Doi: 10.1145/2464576.2464617

Multistage Transmission Expansion Planning Considering Fixed Series Compensation Allocation
Rahmani, M. Vinasco, G. ;  Rider, M.J. ;  Romero, R. ;  Pardalos, P.M. IEEE Transactions on Power Systems, Volume PP, Issue 99. P.1-11 DOI 10.1109/TPWRS.2013.2266346

 Polyhydroxy fullerenes
Angelina T. Georgieva, Vijay Pappu, Vijay Krishna, Pando G. Georgiev, Ion Ghiviriga, Paul Indeglia, Xin Xu, Z. Hugh Fan, Ben Koopman, Panos M. Pardalos, Journal of Nanoparticle Research. DOI: 0.1007/s11051-013-1690-6, Springer Netherlands

Расширяющие операторы для задачи о независимом множестве
Малышев Д. С. Дискретный анализ и исследование операций. 2013, Т. 20, С. 75-87

Extremal sets of graphs in the problem of demarcation in the family of hereditary closed classes of graphs
Malyshev D.S. Discrete Mathematics and Applications. Volume 22, Issue 5-6, Pages 595-608, ISSN (Online) 1569-3929, ISSN (Print) 0924-9265, DOI: 10.1515/dma-2012-041, June 2013

Эффективное вычисление допусков в задаче о взвешенном независимом множестве для деревьев
Гольденгорин Б. И., Малышев Д. С., Пардалос П. М. Доклады Академии Наук. Информатика. 2013. Т. 450. № 4. С. 393-396

Efficient Computation of Tolerances in the Weighted Independent Set Problem for Trees
Goldengorin B.I., Malyshev D.S., Pardalos P.M., , 2013. Доклады Академии Наук. T. 450, No. 4, C. 393–396

Классы субкубических планарных графов, для которых задача о независимом множестве является полиномиально разрешимой
Малышев Д. С. Дискретный анализ и исследование операций. 2013, Т. 20. № 3, С. 26-44

A Study of The Boundary Graph Classes for Colorability Problems
Malyshev D.S. Journal of Applied and Industrial Mathematics, April 2013, Volume 7, Issue 2, pp. 221-228

Statistical procedures for the market graph construction
Alexander P. Koldanov, Petr A. Koldanov, Valeriy A. Kalyagin,  Panos M. Pardalos, Computational Statistics & Data Analysis, Vol. 68, pp. 17-29, DOI information: 10.1016/j.csda.2013.06.005

Speeding up branch and bound algorithms for solving the maximum clique problem
Evgeny Maslov, Mikhail Batsyn, Panos M. Pardalos, Journal of Global Optimization, May 2013, Springer US

Raman spectroscopy utilizing Fisher-based feature selection combined with Support Vector Machines for the characterization of breast cell lines
Michael B. Fenn, Vijay Pappu, Pando G. Georgeiv, and Panos M. Pardalos,  Journal of Raman Spectroscopy, DOI 10.1002/jrs.4309

Cell Formation in Industrial Engineering
Boris Goldengorin, Dmitry Krushinsky, Panos M. Pardalos, Theory, Algorithms and Experiments, Series: Springer Optimization and Its Applications, Vol. 792013, XIV, 206 p. 

Optimal-constrained multicast sub-graph over coded packet networks
M. A. Raayatpanah, H. Salehi Fathabadi, H. Bahramgiri, P. M. Pardalos, Journal of Combinatorial Optimization, April 2013, Springer US

Network approach for the Russian stock market
A. Vizgunov, B. Goldengorin, V. Kalyagin, A. Koldanov, P. Koldanov, P. M. Pardalos, Computational Management Science, Springer-Verlag

Dynamics of Information Systems: Algorithmic Approaches, Springer
Sorokin, Alexey; Pardalos, Panos M. (Eds.), Series: Springer Proceedings in Mathematics & Statistics, Vol. 51, 2013, VIII, 330 p. 79 illus., 52 in color

Cities for Smart Environmental and Energy Futures
Pardalos, Panos M.; Rassia, Stamatina Th. (Eds.), ISBN 978-3-642-37660-3, Due: July 31, 2013

Simple measure of similarity for the market graph construction
G.A. Bautin, V.A. Kalyagin, A.P. Koldanov, P.A. Koldanov, P.M. Pardalos, Computational Management Science,  Springer-Verlag, Vol. 10, Issue 2-3, pp. 105-124

A tolerance-based heuristic approach for the weighted independent set problem
B.I. Goldengorin, D.S. Malyshev, P.M. Pardalos, V.A. Zamaraev, Journal of Combinatorial Optimization, Springer US

Prediction of electricity energy consumption of Turkey via artificial bee colony: a case study
Feyza Gürbüz, Celal Öztürk, Panos Pardalos, Energy Systems, 2013

Computational risk management techniques for fixed charge network flow problems with uncertain arc failures
Alexey Sorokin, Vladimir Boginski, Artyom Nahapetyan, and Panos M. Pardalos, J Comb Optim (2013)

Minimum norm solution to the positive semidefinite linear complementarity problem
Panos M. Pardalos, Saeed Ketabchi & Hossein Moosaei, Optimization: A Journal of Mathematical Programming and Operations Research

On the optimization properties of the correntropic loss function in data analysis
Mujahid N. Syed, Panos M. Pardalos, and Jose C. Principe, Optimization Lettetrs (2013)

Robust aspects of solutions in deterministic multiple objective linear programming
Pando Gr. Georgiev, Dinh The Luc, Panos M. Pardalos, European Journal of Operational Research, February 2013

Computational risk management techniques for fixed charge network flow problems with uncertain arc failures
Alexey Sorokin, Vladimir Boginski, Artyom Nahapetyan, and  Panos M. Pardalos,  J Comb Optim (2013),  January 2013, Volume 25, Issue 1, pp 99-122

Improvements to MCS algorithm for the maximum clique problem
Mikhail Batsyn, Boris Goldengorin, Evgeny Maslov, Panos M. Pardalos, Journal of Combinatorial Optimization, Springer US

Robust generalized eigenvalue classifier with ellipsoidal uncertainty
Petros Xanthopoulos, Mario R. Guarracino, Panos M. Pardalos, Annals of Operations Research, Springer US

An Improved Adaptive Binary Harmony Search Algorithm
Ling Wang,  Ruixin Yang, Yin Xu, Qun Niu, Panos M. Pardalos, Minrui Fei, Information Sciences, available online 15 January 2013

Systems Analysis Tools for Better Health Care Delivery
Pardalos, P.M.; Georgiev, P.G.; Papajorgji, P.; Neugaard, B. (Eds.), Springer Optimization and Its Applications, Vol. 74, 2013, IX, 179 p. 57 illus., 31 in color

Handbook of Combinatorial Optimization
Pardalos, Panos M.; Du, Ding-Zhu; Graham, Ronald L. (Eds.), 2nd ed., 2013, 4930 p. 500 illus. in color.

A hierarchical approach for sparse sourse blind signal separation problem
Mujahid N. Syed, Pando G. Georgiev, Panos M. Pardalos. Computers & Operations Research

Optimization, Simulation,Control
Chinchuluun, A.; Pardalos, P.M.; Enkhbat, R.; Pistikopoulos, E.N. (Eds.) 2013, XII, 345 p. 75 illus., 25 in color

Robust Data Mining
Petros Xanthopoulos, Panos M. Pardalos,Theodore B. Trafalis. Springer Briefs in Optimization, 2013, XII, 59 p.

Models, Algorithms, and Technologies for Network Analysis
Goldengorin, Boris; Kalyagin, Valery A.; Pardalos, Panos M. (Eds.). Proceedings of the First International Conference on Network Analysis. Springer Proceedings in Mathematics & Statistics, Vol. 32, 2013, 236 p. ISBN 978-1-4614-5573-8.

Evacuation Through Clustering Techniques
Chrysafis Vogiatzis, Jose L. Walteros, Panos M. Pardalos. Models, Algorithms, and Technologies for Network Analysis. Proceedings of the First International Conference on Network Analysis. Volume 32, 2013, pp.185-198.

Calcium Transient Imaging as Tool for Neuronal and Glial Network Interaction Study
Yu. N. Zakharov, E. V. Mitroshina, O. Shirokova, I. V. Mukhina. Models, Algorithms, and Technologies for Network Analysis. Proceedings of the First International Conference on Network Analysis. Volume 32, 2013, pp.225-232.

How Close to Optimal Are Small World Properties of Human Brain Networks?
Dmytro Korenkevych, Frank Skidmore, Boris Goldengorin, Panos M. Pardalos. Models, Algorithms, and Technologies for Network Analysis. Proceedings of the First International Conference on Network Analysis. Volume 32, 2013, pp.117-127.

Network-Based Representation of Stock Market Dynamics: An Application to American and Swedish Stock Markets
David Jallo,Daniel Budai,Vladimir Boginski, Boris Goldengorin, Panos M. Pardalos. Models, Algorithms, and Technologies for Network Analysis. Proceedings of the First International Conference on Network Analysis. Volume 32, 2013, pp.93-106.

On a Numerically Stable Algorithm for the Analysis of Generalized Volterra Lattice
Valery Kalyagin, Maxim Sokolov. Models, Algorithms, and Technologies for Network Analysis. Proceedings of the First International Conference on Network Analysis. Volume 32, 2013, pp. 107-116.

Modular Contractions and Their Application
Vyacheslav V. Chistyakov.Models, Algorithms, and Technologies for Network Analysis. Proceedings of the First International Conference on Network Analysis. Volume 32, 2013, pp.65-92.

An Analytical Expression for the Distribution of the Sum of Random Variables with a Mixed Uniform Density and Mass Function
Mikhail Batsyn, Valery Kalyagin. Models, Algorithms, and Technologies for Network Analysis. Proceedings of the First International Conference on Network Analysis. Volume 32, 2013, pp.51-63.

Pattern-Based Heuristic for the Cell Formation Problem in Group Technology
Mikhail Batsyn, Ilya Bychkov, Boris Goldengorin,Panos M. Pardalos, Pavel Sukhov.Models, Algorithms, and Technologies for Network Analysis.  Proceedings of the First International Conference on Network Analysis. Volume 32, 2013, pp. 11-50.



2012

Boundary graph classes for some maximum induced subgraph problems
Malyshev D. // Journal of Combinatorial Optimization. DOI:10.1007%2Fs10878-012-9529-0.

Некоторые результаты о наследственных классах графов II
Алексеев В. Е., Захарова Д. В., Малышев Д. С., Мокеев Д. Б., Сорочан С. В. Вестник Нижегородского университета им. Н.И. Лобачевского. Серия: Математика. 2012, № 6(1), С. 115-120 

Routing-efficient CDS construction in Disk-Containment Graphs
ZaixinLu, Lidong Wu, Panos M. Pardalos, Eugene Maslov, Wonjun Lee, Ding-Zhu Du, Optimization Letters

Minimum norm solution to the positive semidefinite linear complementarity problem
Panos M. Pardalos, Saeed Ketabchi & Hossein Moosaei, Optimization: A Journal of Mathematical Programming and Operations Research

A Mesh Adaptive Basin Hopping Method for the Design of Circular Antenna Arrays
Giovanni Stracquadanio, Elisa Pappalardo, Panos M. Pardalos, Journal of Optimization Theory and Applications, December 2012, Volume 155, Issue 3, pp 1008-1024

Полиномиальная разрешимость задачи о независимом множестве для одного класса графов малого диаметра.
Малышев Д.С. Дискретный анализ и исследование операций. Июль - август 2012. Том 19, №4 с. 66-72.

Полиномиальная разрешимость задачи о независимом множестве в классе графов без порожденных простых пути и цикла с пятью вершинами и большой клики.
Малышев Д.С. Дискретный анализ и исследование операций. Май - июнь 2012. Том 19, №3 с. 58-64

Исследование граничных классов графов для задач о раскраске.
Малышев Д.С. Дискретный анализ и исследование операций. ноябрь - декабрь 2012. Том 19, № 6, с. 37-48.

Competent genetic algorithms for weighing matrices
I. S. Kotsireas, C. Koukouvinos, P. M. Pardalos, D. E. Simos. Journal of Combinatorial Optimization, November 2012, Volume 24, Issue 4, pp. 508-525.

On the complexity of path problems in properly colored directed graphs
Donatella Granata, Behnam Behdani, Panos M. Pardalos. Journal of Combinatorial Optimization, November 2012, Volume 24, Issue 4, pp. 459-467.

Flexible PMP Approach for Large-Size Cell Formation
Boris Goldengorin, Dmitry Krushinsky and Jannes Slomp.  Operations Research, 2012, Vol. 60, No. 5, pp. 1157-1166.

Lower tolerance-based Branch and Bound algorithms for the ATSP
Germs R., Goldengorin B., Turkensteen M. Computers & Operations Research. 2012. 2(39). pp. 291-298.

Применение рыночных графов к анализу фондового рынка России
А.Н. Визгунов, Б.И. Гольденгорин, В.А. Замараев, В.А. Калягин, А.П. Колданов, П.А. Колданов, П.М. Пардалос. Журнал Новой экономической ассоциации, №3 (15), с. 66–81

A tutorial on branch and cut algorithms for the maximum stable set problem
Steffen Rebennack, Gerhard Reinelt, Panos M. Pardalos. International Transactions in Operational Research,Volume 19, Issue 1-2, pages 161–199, 2012, DOI: 10.1111/j.1475-3995.2011.00805.x

Handbook of CO2 in Power Systems
Zheng, Q.P.; Rebennack, S.; Pardalos, P.M.; Pereira, M.V.F.; Iliadis, N.A. (Eds.). Series: Energy Systems, VIII (2012), 397 p., ISBN 978-3-642-27430-5

Competent genetic algorithms for weighing matrices
I. S. Kotsireas, C. Koukouvinos, P. M. Pardalos and D. E. Simos. JOURNAL OF COMBINATORIAL OPTIMIZATION, Volume 24, Number 4 (2012), 508-525, DOI: 10.1007/s10878-011-9404-4

Parallel hybrid heuristics for the permutation flow shop problem
Martín Gómez Ravetti, Carlos Riveros, Alexandre Mendes, Mauricio G. C. Resende and Panos M. Pardalos. ANNALS OF OPERATIONS RESEARCH, Volume 199, Number 1 (2012), 269-284, DOI: 10.1007/s10479-011-1056-3

Dynamics of Information Systems: Mathematical Foundations
Alexey Sorokin, Robert Murphey, My T. Thai and Panos M. Pardalos. Springer Proceedings in Mathematics & Statistics, 2012, Volume 20, Dynamics of Information Systems: Mathematical Foundations, DOI: 10.1007/978-1-4614-3906-6_5

Global Equilibrium Search Algorithms for Combinatorial Optimization Problems
Oleg Shylo, Dmytro Korenkevych and Panos M. Pardalos. Parallel Problem Solving from Nature - PPSN XII. Lecture Notes in Computer Science, 2012, Volume 7492/2012, 277-286, DOI: 10.1007/978-3-642-32964-7_28

Глобальные допуски в задачах комбинаторной оптимизации с аддитивной целевой функцией
Б. И. Гольденгорин, П. М. Пардалос, В. В. Чистяков. Доклады академии наук, 2012, том 446, № 1, с. 21–24.

Global tolerances in combinatorial optimization problems with additive objective function
V. V. Chistyakov, B. I. Goldengorin, P. M. Pardalos. Doklady akademii nauk, 2012, volume 446, № 1, 21–24.

Correntropy in Data Classification
Mujahid N. Syed, Jose C. Principe and Panos M. Pardalos. Springer Proceedings in Mathematics & Statistics, 2012, Volume 20, Dynamics of Information Systems: Mathematical Foundations, Part 1, Pages 81-117, DOI: 10.1007/978-1-4614-3906-6_5

Robust optimization of graph partitioning involving interval uncertainty
Neng Fan, Qipeng P. Zheng, Panos M. Pardalos. Combinational Algorithms and Applications (COCOA 2010). Theoretical Computer Science. Volume 447 (2012), 53-61.

Data Correcting Approaches in Combinatorial Optimization
Boris Goldengorin and Panos Pardalos. Springer Briefs in Optimization, VIII (2012), 116 p., ISBN 978-1-4614-5285-0  review

On factorial properties of chordal bipartite graphs
V.V. Lozin, K. Dabrowski, V. Zamaraev // Discrete Mathematics, V. 312, I. 16, (2012), 2457—2465.

Efficient solutions for the far from most string problem
Paola Festa and Panos M. Pardalos. Annals of Operations Research. Volume 196, Number 1 (2012), 663-682, DOI: 10.1007/s10479-011-1028-7

О связи понятий граничного и минимального сложного классов графов
Малышев Д.С. Вестник Нижегородского университета им. Н.И. Лобачевского, 2012. № 2. C. 149—151

Analysis of the Impact of the Number of Edges in Connected Graphs on the Time Complexity of an Independent Set Problem
Malyshev, D. Journal of Applied and Industrial Mathematics, 2012. № 6 (1). C. 97—99

Полиномиальная разрешимость задачи о независимом множестве в классе графов без порожденных простых пути и цикла с пятью вершинами и большой клики
Малышев Д.С. Дискретный анализ и исследование операций, 2012. Т. 19. № 3. C. 58—64

Essays in Mathematics and its Applications
Pardalos, Panos M.; Rassias, Themistocles M. (Eds.). In Honor of Stephen Smale´s 80th Birthday. Springer, 2012, 372 p, ISBN 978-3-642-28820-3.

Optimization and Data Analysis in Biomedical Informatics
Pardalos, Panos M.; Coleman, Thomas F.; Xanthopoulos, Petros (Eds.). Springer Series: Fields Institute Communications, Vol. 63, 2012, 150 p, ISBN 978-1-4614-4132-8.

An exact model for cell formation in group technology
Dmitry Krushinsky and Boris Goldengorin. Computational Management Science, 2012, Volume 9, Number 3, 323-338, DOI: 10.1007/s10287-012-0146-2

A decision making process application for the slurry production in ceramics via fuzzy cluster and data mining
Feyza Gürbüz & Panos M. Pardalos. Journal of Industrial and Management Optimization. DOI:10.3934/jimo.2012.8.285

Рейтингования без компенсаций и их применение.
А.А. Гончаров, В.В. Чистяков. Проблемы управления. №2. 2012.

Generating properly efficient pointsin multi-objective programs by thenonlinear weighted sum scalarizationmethod
M. Zarepisheh, E. Khorram & Panos M. Pardalos. Optimization: A Journal ofMathematical Programming andOperations Research. DOI:10.1080/02331934.2012.671819 

Parallel hybrid heuristics for the permutation flow shopproblem
Martín Gómez Ravetti, Carlos Riveros, Alexandre Mendes, Mauricio G.C. Resende, Panos M. Pardalos. Ann Oper Res. DOI 10.1007/s10479-011-1056-3

Maximum lifetime connected coverage with two active-phase sensors
Hongwei Du, Panos M. Pardalos,Weili WuandLidong Wu. Journal of Global Optimization. DOI: 10.1007/s10898-012-9871-x

A decomposition approach to the two-stage stochastic unit commitment problem
Qipeng P. Zheng, Jianhui Wang, Panos M. Pardalos and Yongpei Guan. Annals of Operations Research. DOI: 10.1007/s10479-012-1092-7

Generalized Lagrange Function and Generalized Weak Saddle Points for a Class of Multiobjective Fractional Optimal Control Problems
Liu, H. Fan, N. and Pardalos, P. Journal of Optimal Theory and Applications. Vol. 154, Issue 2, pp.370–381. DOI: 10.1007/s10957-012-0007-8

Locally bounded coverings and factorial properties of graphs
V.V. Lozin, C. Mayhill, V. Zamaraev // European J. Combinatorics, 33 (2012) 534–543. 

Financial Decision Making Using Computational Intelligence
M. Doumpos, C. Zopounidis, P.M. Pardalos (Eds.) Springer. Series: Springer Optimisation and its Application, 2012. Vol. 70. ISBN 978-1-4614-3772-7

Handbook of Networks in Power Systems I
Sorokin, A.; Rebennack, S.; Pardalos, P.M.; Iliadis, N.A.; Pereira, M.V.F. (Eds.) Springer. Series: Energy Systems, 2012. ISBN 978-3-642-23192-6

Handbook of Networks in Power Systems II
Sorokin, A.; Rebennack, S.; Pardalos, P.M.; Iliadis, N.A.; Pereira, M.V.F. (Eds.) Springer. Series: Energy Systems, 2012. ISBN 978-3-642-23405-7

Handbook of Optimization in Complex Networks. Communication and Social Networks
My T. Thai and Panos M. Pardalos. Springer. Series: Springer Optimization and Its Applications, 2012. Vol. 58. ISBN 978-1-4614-0856-7

Handbook of Optimization in Complex Networks. Theory and Applications
My T. Thai and Panos M. Pardalos.  Springer.  Series: Springer Optimization and Its Applications , 2012. Vol. 57. ISBN 978-1-4614-0753-9

Additive spectral method for fuzzy cluster analysis of similarity data including community structure and affinity matrices
Boris Mirkin, Susana Nascimento. Information Sciences Volume 183, Issue 1, 15 January 2012, Pages 16–34. DOI: 10.1016/j.ins.2011.09.009

О пересечении и симметрической разности семейств граничных классов для задач о раскраске и о хроматическом числе
Малышев Д.С. Дискретная математика, 2012. № 23 

Анализ сложности задачи о рёберном списковом ранжировании для наследственных классов графов с не более чем тремя запретами
Малышев Д.С. Дискретный анализ и исследование операций, 2012. № 1. C. 74—96 

hGA: Hybrid genetic algorithm in fuzzy rule-based classification systems for high-dimensional problems
Emel Kızılkaya Aydogan, Ismail Karaoglan, Panos M. Pardalos. Applied Soft Computing. Volume 12, Issue 2, February 2012, Pages 800–806

 

2011

On intersection and symmetric difference of families of boundary classes in the problems on colouring and on the chromatic number
Malyshev, D. S. Discrete Mathematics and Applications.Volume 21, Issue 5-6, Pages 645–649, ISSN (Online) 1569-3929, ISSN (Print) 0924-9265, DOI: 10.1515/dma.2011.038, May 2011.

Extremal values of global tolerances in combinatorial optimization with an additive objective function
Vyacheslav V. Chistyakov, Boris I. Goldengorin and Panos M. Pardalos. Journal of Global Optimization. DOI: 10.1007/s10898-012-9847-x

Almost all factorial subclasses of quasi-line graphs with respect to one forbidden subgraph
V.A. Zamaraev // Moscow Journal of Combinatorics and Number Theory, 2011. № 1 (3)

Оценка числа графов в некоторых наследственных классах
Замараев В.А.  // Дискретная математика, 2011. № 23 (3). C. 57—62

Граничные классы для задач о списковом ранжировании относительно лесов
Малышев Д.С. Дискретный анализ и исследование операций, 2011. № 6. C. 61—70. 

A mixed integer programming approach for optimal power grid intentional islanding
Neng Fan, David Izraelevitz, Feng Pan, Panos M. Pardalos and Jianhui Wang. Energy Systems. Volume 3, Number 1, 77-93, DOI: 10.1007/s12667-011-0046-5


 

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