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Volumn 55, Issue , 2016, Pages 1-13

A hybrid quantum particle swarm optimization for the Multidimensional Knapsack Problem

Author keywords

Combinatorial optimization; Hybrid heuristic; Multidimensional Knapsack Problem; Particle swarm optimization

Indexed keywords

COMBINATORIAL OPTIMIZATION; OPTIMIZATION; PARTICLE SWARM OPTIMIZATION (PSO);

EID: 84973457907     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2016.05.006     Document Type: Article
Times cited : (92)

References (67)
  • 2
    • 69549112880 scopus 로고    scopus 로고
    • A hybrid of nested partition, binary ant system, and linear programming for the multidimensional knapsack problem
    • S. Al-Shihabi, and S. ílafsson A hybrid of nested partition, binary ant system, and linear programming for the multidimensional knapsack problem Comput. Oper. Res. 37 2 2010 247 255
    • (2010) Comput. Oper. Res. , vol.37 , Issue.2 , pp. 247-255
    • Al-Shihabi, S.1    Ílafsson, S.2
  • 3
    • 35349021400 scopus 로고    scopus 로고
    • A dynamic programming based reduction procedure for the multidimensional 0-1 knapsack problem
    • S. Balev, N. Yanev, A. Fréville, and R. Andonov A dynamic programming based reduction procedure for the multidimensional 0-1 knapsack problem Eur. J. Oper. Res. 186 1 2008 63 76
    • (2008) Eur. J. Oper. Res. , vol.186 , Issue.1 , pp. 63-76
    • Balev, S.1    Yanev, N.2    Fréville, A.3    Andonov, R.4
  • 4
    • 56449107505 scopus 로고
    • OR-library: Distributing test problems by electronic mail
    • J.E. Beasley OR-library: distributing test problems by electronic mail J. Oper. Res. Soc. 41 11 1990 1069 1072
    • (1990) J. Oper. Res. Soc. , vol.41 , Issue.11 , pp. 1069-1072
    • Beasley, J.E.1
  • 5
    • 84885426987 scopus 로고    scopus 로고
    • Binary accelerated particle swarm algorithm (BAPSA) for discrete optimization problems
    • Z. Beheshti, S.M. Shamsuddin, and S.S. Yuhaniz Binary accelerated particle swarm algorithm (BAPSA) for discrete optimization problems J. Glob. Optim. 57 2 2013 549 573
    • (2013) J. Glob. Optim. , vol.57 , Issue.2 , pp. 549-573
    • Beheshti, Z.1    Shamsuddin, S.M.2    Yuhaniz, S.S.3
  • 6
    • 84884225064 scopus 로고    scopus 로고
    • A genetic algorithm to solve the multidimensional knapsack problem
    • M.E. Berberler, A. Guler, and U.G. NurIyev A genetic algorithm to solve the multidimensional knapsack problem Math. Comput. Appl. 18 3 2013 486 494
    • (2013) Math. Comput. Appl. , vol.18 , Issue.3 , pp. 486-494
    • Berberler, M.E.1    Guler, A.2    NurIyev, U.G.3
  • 7
    • 0036541179 scopus 로고    scopus 로고
    • An approximate dynamic programming approach to multidimensional knapsack problems
    • D. Bertsimas, and R. Demir An approximate dynamic programming approach to multidimensional knapsack problems Manag. Sci. 48 2002 550 565
    • (2002) Manag. Sci. , vol.48 , pp. 550-565
    • Bertsimas, D.1    Demir, R.2
  • 8
    • 84862258184 scopus 로고    scopus 로고
    • A new discrete electromagnetism-based meta-heuristic for solving the multidimensional knapsack problem using genetic operators
    • M.R. Bonyadi, and X. Li A new discrete electromagnetism-based meta-heuristic for solving the multidimensional knapsack problem using genetic operators Oper. Res. 12 2 2012 229 252
    • (2012) Oper. Res. , vol.12 , Issue.2 , pp. 229-252
    • Bonyadi, M.R.1    Li, X.2
  • 11
    • 84912138959 scopus 로고    scopus 로고
    • Self-adaptive check and repair operator-based particle swarm optimization for the multidimensional knapsack problem
    • M. Chih Self-adaptive check and repair operator-based particle swarm optimization for the multidimensional knapsack problem Appl. Soft Comput. 26 2015 378 389
    • (2015) Appl. Soft Comput. , vol.26 , pp. 378-389
    • Chih, M.1
  • 12
    • 0032090794 scopus 로고    scopus 로고
    • A genetic algorithm for the multidimensional knapsack problem
    • P. Chu, and J. Beasley A genetic algorithm for the multidimensional knapsack problem J. Heuristics 4 1998 63 86
    • (1998) J. Heuristics , vol.4 , pp. 63-86
    • Chu, P.1    Beasley, J.2
  • 14
    • 34250074046 scopus 로고
    • Dynamic tabu list management using the reverse elimination method
    • F. Dammeyer, and S. Voß Dynamic tabu list management using the reverse elimination method Ann. Oper. Res. 41 2 1993 29 46
    • (1993) Ann. Oper. Res. , vol.41 , Issue.2 , pp. 29-46
    • Dammeyer, F.1    Voß, S.2
  • 16
    • 0020021686 scopus 로고
    • An algorithm for the solution of the 0-1 knapsack problem
    • D. Fayard, and G. Plateau An algorithm for the solution of the 0-1 knapsack problem Computing 28 1982 269 287
    • (1982) Computing , vol.28 , pp. 269-287
    • Fayard, D.1    Plateau, G.2
  • 17
    • 84902791142 scopus 로고    scopus 로고
    • A CUDA based solution to the multidimensional knapsack problem using the ant colony optimization
    • H. Fingler, E.N. Cáceres, H. Mongelli, and S.W. Song A cuda based solution to the multidimensional knapsack problem using the ant colony optimization Procedia Comput. Sci. 29 2014 84 94
    • (2014) Procedia Comput. Sci. , vol.29 , pp. 84-94
    • Fingler, H.1    Cáceres, E.N.2    Mongelli, H.3    Song, S.W.4
  • 18
    • 0348170707 scopus 로고    scopus 로고
    • The multidimensional 0-1 knapsack problem: An overview
    • A. Fréville The multidimensional 0-1 knapsack problem: an overview Eur. J. Oper. Res. 155 1 2004 1 21
    • (2004) Eur. J. Oper. Res. , vol.155 , Issue.1 , pp. 1-21
    • Fréville, A.1
  • 19
    • 38149146140 scopus 로고
    • An efficient preprocessing procedure for the multidimensional 0-1 knapsack problem
    • A. Fréville, and P. Gérard An efficient preprocessing procedure for the multidimensional 0-1 knapsack problem Discrete Appl. Math. 49 1994 189 212
    • (1994) Discrete Appl. Math. , vol.49 , pp. 189-212
    • Fréville, A.1    Gérard, P.2
  • 20
    • 0021886787 scopus 로고
    • Efficient algorithms for solving multiconstraint zero-one knapsack problems to optimality
    • B. Gavish, and H. Pirkul Efficient algorithms for solving multiconstraint zero-one knapsack problems to optimality Math. Program. 31 1985 78 105
    • (1985) Math. Program. , vol.31 , pp. 78-105
    • Gavish, B.1    Pirkul, H.2
  • 21
    • 0020229390 scopus 로고
    • Allocation of databases and processors in a distributed data processing
    • J. Akola (ed.) North-Holland, Amsterdam
    • Gavish, B., Pirkul, H., 1982. Allocation of databases and processors in a distributed data processing. In: In: J. Akola (ed.), Management of Distributed Data Processing, North-Holland, Amsterdam, pp. 215-231.
    • (1982) Management of Distributed Data Processing , pp. 215-231
    • Gavish, B.1    Pirkul, H.2
  • 22
    • 0001648565 scopus 로고
    • The theory and computation of knapsack functions
    • P.C. Gilmore, and R.E. Gomory The theory and computation of knapsack functions Oper. Res. 14 6 1966 1045 1074
    • (1966) Oper. Res. , vol.14 , Issue.6 , pp. 1045-1074
    • Gilmore, P.C.1    Gomory, R.E.2
  • 23
    • 0001422664 scopus 로고    scopus 로고
    • Critical Event Tabu Search for Multidimensional Knapsack Problems
    • Springer
    • Glover, F., Kochenberger, G.A., 1996. Critical Event Tabu Search for Multidimensional Knapsack Problems. In: Meta-Heuristics, Springer, pp. 407-427.
    • (1996) Meta-Heuristics , pp. 407-427
    • Glover, F.1    Kochenberger, G.A.2
  • 25
    • 0032045852 scopus 로고    scopus 로고
    • An efficient tabu search approach for the 0-1 multidimensional knapsack problem
    • S. Hanafi, and A. Fréville An efficient tabu search approach for the 0-1 multidimensional knapsack problem Eur. J. Oper. Res. 106 2-3 1998 659 675
    • (1998) Eur. J. Oper. Res. , vol.106 , Issue.2-3 , pp. 659-675
    • Hanafi, S.1    Fréville, A.2
  • 26
    • 33751344643 scopus 로고    scopus 로고
    • Exploiting nested inequalities and surrogate constraints
    • S. Hanafi, and F. Glover Exploiting nested inequalities and surrogate constraints Eur. J. Oper. Res 179 1 2007 50 63
    • (2007) Eur. J. Oper. Res , vol.179 , Issue.1 , pp. 50-63
    • Hanafi, S.1    Glover, F.2
  • 27
    • 0032653136 scopus 로고    scopus 로고
    • Quantum computing: An introduction
    • T. Hey Quantum computing: an introduction Comput. Control Eng. J. 10 3 1999 105 112
    • (1999) Comput. Control Eng. J. , vol.10 , Issue.3 , pp. 105-112
    • Hey, T.1
  • 28
    • 74249114216 scopus 로고    scopus 로고
    • An ant colony optimization approach for the multidimensional knapsack problem
    • L. Ke, Z. Feng, Z. Ren, and X. Wei An ant colony optimization approach for the multidimensional knapsack problem J. Heuristics 16 1 2010 65 83
    • (2010) J. Heuristics , vol.16 , Issue.1 , pp. 65-83
    • Ke, L.1    Feng, Z.2    Ren, Z.3    Wei, X.4
  • 29
    • 84899047533 scopus 로고    scopus 로고
    • Small worlds and mega-minds: Effects of neighborhood topology on particle swarm performance
    • 3
    • Kennedy, J., 1999. Small worlds and mega-minds: effects of neighborhood topology on particle swarm performance. In: Evolutionary Computation, 1999. CEC 99. Proceedings of the 1999 Congress on, Vol. 3, pp. -1938 Vol. 3.
    • (1999) Evolutionary Computation, 1999. CEC 99. Proceedings of the 1999 Congress on , vol.3 , pp. 1938
    • Kennedy, J.1
  • 30
    • 0033675961 scopus 로고    scopus 로고
    • Stereotyping: Improving particle swarm performance with cluster analysis
    • Kennedy, J., 2000. Stereotyping: improving particle swarm performance with cluster analysis. In: Proceedings of the 2000 Congress on Evolutionary Computation, Vol. 2, pp. 1507-1512.
    • (2000) Proceedings of the 2000 Congress on Evolutionary Computation , vol.2 , pp. 1507-1512
    • Kennedy, J.1
  • 36
    • 36849024458 scopus 로고    scopus 로고
    • A new ant colony optimization algorithm for the multidimensional knapsack problem
    • M. Kong, P. Tian, and Y. Kao A new ant colony optimization algorithm for the multidimensional knapsack problem Comput. Oper. Res. 35 8 2008 2672 2683
    • (2008) Comput. Oper. Res. , vol.35 , Issue.8 , pp. 2672-2683
    • Kong, M.1    Tian, P.2    Kao, Y.3
  • 37
    • 33746218463 scopus 로고    scopus 로고
    • Apply the particle swarm optimization to the multidimensional knapsack problem
    • Rutkowski, L., Tadeusiewicz, R., Zadeh, L., zurada, J. (Eds.) of Lecture Notes in Computer Science, Springer Berlin Heidelberg
    • Kong, M., Tian, P., 2006. Apply the particle swarm optimization to the multidimensional knapsack problem. In: Rutkowski, L., Tadeusiewicz, R., Zadeh, L., zurada, J. (Eds.), Artificial Intelligence and Soft Computing-ICAISC 2006, Vol. 4029 of Lecture Notes in Computer Science, Springer Berlin Heidelberg, pp. 1140-1149.
    • (2006) Artificial Intelligence and Soft Computing-ICAISC 2006 , vol.4029 , pp. 1140-1149
    • Kong, M.1    Tian, P.2
  • 39
    • 84883490434 scopus 로고    scopus 로고
    • Essential particle swarm optimization queen with tabu search for mkp resolution
    • R. Ktari, and H. Chabchoub Essential particle swarm optimization queen with tabu search for mkp resolution Computing 95 9 2013 897 921
    • (2013) Computing , vol.95 , Issue.9 , pp. 897-921
    • Ktari, R.1    Chabchoub, H.2
  • 40
    • 84871145567 scopus 로고    scopus 로고
    • Set-based particle swarm optimization applied to the multidimensional knapsack problem
    • J. Langeveld, and A.P. Engelbrecht Set-based particle swarm optimization applied to the multidimensional knapsack problem Swarm Intell. 6 4 2012 297 342
    • (2012) Swarm Intell. , vol.6 , Issue.4 , pp. 297-342
    • Langeveld, J.1    Engelbrecht, A.P.2
  • 41
    • 79957583976 scopus 로고    scopus 로고
    • A hybrid simulated annealing metaheuristic algorithm for the two-dimensional knapsack packing problem
    • S.C. Leung, D. Zhang, C. Zhou, and T. Wu A hybrid simulated annealing metaheuristic algorithm for the two-dimensional knapsack packing problem Comput. Oper. Res. 39 1 2012 64 73
    • (2012) Comput. Oper. Res. , vol.39 , Issue.1 , pp. 64-73
    • Leung, S.C.1    Zhang, D.2    Zhou, C.3    Wu, T.4
  • 42
    • 84867497765 scopus 로고    scopus 로고
    • Coral: An exact algorithm for the multidimensional knapsack problem
    • R. Mansini, and M.G. Speranza Coral: an exact algorithm for the multidimensional knapsack problem INFORMS J. Comput. 24 3 2012 399 415
    • (2012) INFORMS J. Comput. , vol.24 , Issue.3 , pp. 399-415
    • Mansini, R.1    Speranza, M.G.2
  • 44
  • 47
    • 0036959053 scopus 로고    scopus 로고
    • Cutting and surrogate constraint analysis for improved multidimensional knapsack solutions
    • M.A. Osorio, F. Glover, and P. Hammer Cutting and surrogate constraint analysis for improved multidimensional knapsack solutions Ann. Oper. Res. 117 1-4 2002 71 93
    • (2002) Ann. Oper. Res. , vol.117 , Issue.1-4 , pp. 71-93
    • Osorio, M.A.1    Glover, F.2    Hammer, P.3
  • 50
    • 33747430130 scopus 로고    scopus 로고
    • Locating and tracking multiple dynamic optima by a particle swarm model using speciation
    • D. Parrott, and X. Li Locating and tracking multiple dynamic optima by a particle swarm model using speciation IEEE Trans. Evolut. Comput. 10 4 2006 440 458
    • (2006) IEEE Trans. Evolut. Comput. , vol.10 , Issue.4 , pp. 440-458
    • Parrott, D.1    Li, X.2
  • 51
    • 0001497251 scopus 로고
    • Computational experience with variants of the balas algorithm applied to the selection of r&d projects
    • C.C. Petersen Computational experience with variants of the balas algorithm applied to the selection of r&d projects Manag. Sci. 13 9 1967 736 750
    • (1967) Manag. Sci. , vol.13 , Issue.9 , pp. 736-750
    • Petersen, C.C.1
  • 52
    • 0023332292 scopus 로고
    • A heuristic solution procedure for the multiconstraint zero-one knapsack problem
    • H. Pirkul A heuristic solution procedure for the multiconstraint zero-one knapsack problem Nav. Res. Logist. 34 1-2 1987 161 172
    • (1987) Nav. Res. Logist. , vol.34 , Issue.1-2 , pp. 161-172
    • Pirkul, H.1
  • 53
    • 77952042144 scopus 로고    scopus 로고
    • The multidimensional knapsack problem: Structure and algorithms
    • J. Puchinger, G.R. Raidl, and U. Pferschy The multidimensional knapsack problem: structure and algorithms INFORMS J. Comput. 22 2 2010 250 265
    • (2010) INFORMS J. Comput. , vol.22 , Issue.2 , pp. 250-265
    • Puchinger, J.1    Raidl, G.R.2    Pferschy, U.3
  • 55
    • 84974859764 scopus 로고
    • A branch and bound method for the multiconstraint zero one knapsack problem
    • W. Shih A branch and bound method for the multiconstraint zero one knapsack problem J. Oper. Res. Soc. 30 4 1979 369 378
    • (1979) J. Oper. Res. Soc. , vol.30 , Issue.4 , pp. 369-378
    • Shih, W.1
  • 58
    • 84891676442 scopus 로고    scopus 로고
    • Hybrid greedy-particle swarmoptimization-genetic algorithm and its convergence to solve multidimensionalknapsack problem 0-1
    • F.D. Tisna A., S. Abusini, and A. Andar Hybrid greedy-particle swarmoptimization-genetic algorithm and its convergence to solve multidimensionalknapsack problem 0-1 J. Theor. Appl. Inform. Technol. 58 3 2013 522 528
    • (2013) J. Theor. Appl. Inform. Technol. , vol.58 , Issue.3 , pp. 522-528
    • Tisna, A.F.D.1    Abusini, S.2    Andar, A.3
  • 59
    • 84891696013 scopus 로고    scopus 로고
    • Overview of the algorithms for solving the multidimensional knapsack problems
    • M.J. Varnamkhasti Overview of the algorithms for solving the multidimensional knapsack problems Adv. Stud. Biol. 4 1 2012 37 47
    • (2012) Adv. Stud. Biol. , vol.4 , Issue.1 , pp. 37-47
    • Varnamkhasti, M.J.1
  • 60
    • 0035480951 scopus 로고    scopus 로고
    • Une approche hybride pour le sac à dos multidimensionnel en variables 0-1
    • M. Vasquez, and J.-K. Hao Une approche hybride pour le sac à dos multidimensionnel en variables 0-1 Oper. Res. 35 4 2001 415 438
    • (2001) Oper. Res. , vol.35 , Issue.4 , pp. 415-438
    • Vasquez, M.1    Hao, J.-K.2
  • 61
    • 12344257761 scopus 로고    scopus 로고
    • Improved results on the 0-1 multidimensional knapsack problem
    • M. Vasquez, and Y. Vimont Improved results on the 0-1 multidimensional knapsack problem Eur. J. Oper. Res. 165 1 2005 70 81
    • (2005) Eur. J. Oper. Res. , vol.165 , Issue.1 , pp. 70-81
    • Vasquez, M.1    Vimont, Y.2
  • 62
    • 37749037565 scopus 로고    scopus 로고
    • Reduced costs propagation in an efficient implicit enumeration for the 01 multidimensional knapsack problem
    • Y. Vimont, S. Boussier, and M. Vasquez Reduced costs propagation in an efficient implicit enumeration for the 01 multidimensional knapsack problem J. Comb. Optim. 15 2 2008 165 178
    • (2008) J. Comb. Optim. , vol.15 , Issue.2 , pp. 165-178
    • Vimont, Y.1    Boussier, S.2    Vasquez, M.3
  • 64
    • 0001215366 scopus 로고
    • Capital budgeting of interrelated projects: Survey and synthesis
    • H.M. Weingartner Capital budgeting of interrelated projects: survey and synthesis Manag. Sci. 12 7 1966 485 516
    • (1966) Manag. Sci. , vol.12 , Issue.7 , pp. 485-516
    • Weingartner, H.M.1
  • 65
    • 0001889296 scopus 로고
    • Methods for the solution of the multi-dimensional 0/1 knapsack problem
    • H.M. Weingartner, and D.N. Ness Methods for the solution of the multi-dimensional 0/1 knapsack problem Oper. Res. 15 1967 83 103
    • (1967) Oper. Res. , vol.15 , pp. 83-103
    • Weingartner, H.M.1    Ness, D.N.2
  • 66
    • 33947254970 scopus 로고    scopus 로고
    • Tabu search: Global intensification using dynamic programming
    • C. Wilbaut, S. Hanafi, A. Fréville, and S. Balev Tabu search: global intensification using dynamic programming Control Cybern. 35 3 2006 579 598
    • (2006) Control Cybern. , vol.35 , Issue.3 , pp. 579-598
    • Wilbaut, C.1    Hanafi, S.2    Fréville, A.3    Balev, S.4


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