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Volumn 36, Issue , 2006, Pages 331-340

Evolutionary and heuristic algorithms for multiobjective 0-1 knapsack problem

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EID: 84860407922     PISSN: 16153871     EISSN: 18600794     Source Type: Book Series    
DOI: 10.1007/978-3-540-36266-1_32     Document Type: Conference Paper
Times cited : (5)

References (21)
  • 1
    • 24944484399 scopus 로고    scopus 로고
    • Ph.D. Thesis, Tech Report No.:A-2002-13, Department of Computer and Information Sciences, University of Tampere
    • I. Asho. Interactive Knapsacks: Theory and Applications. Ph.D. Thesis, Tech Report No.:A-2002-13, Department of Computer and Information Sciences, University of Tampere, 2002.
    • (2002) Interactive Knapsacks: Theory and Applications
    • Asho, I.1
  • 5
    • 0036530772 scopus 로고    scopus 로고
    • A fast and elitist multiobjective genetic algorithm: NSGA-II
    • DOI 10.1109/4235.996017, PII S1089778X02041012
    • K. Deb, A. Pratap, S. Agarwal, and T. Meyarivan. A Fast and Elitist Multiobjective Genetic Algorithm: NSGA-II. IEEE Trans. Evolutionary Computation, 6(2):182-197, April 2002. (Pubitemid 34555372)
    • (2002) IEEE Transactions on Evolutionary Computation , vol.6 , Issue.2 , pp. 182-197
    • Deb, K.1    Pratap, A.2    Agarwal, S.3    Meyarivan, T.4
  • 6
    • 0036966921 scopus 로고    scopus 로고
    • Approximating multiobjective knapsack problems
    • T. Erlebach, H. Kellerer, and U. Pferschy. Approximating Multiobjective Knapsack Problems. Management Science, 48(12):1603-1612, 2002.
    • (2002) Management Science , vol.48 , Issue.12 , pp. 1603-1612
    • Erlebach, T.1    Kellerer, H.2    Pferschy, U.3
  • 8
    • 0016560084 scopus 로고
    • Fast approximation algorithms for the knapsack and sum of subset problem
    • O.H. Ibarra and C. E. Kim. Fast Approximation Algorithms for the Knapsack and Sum of Subset Problem. J. ACM, 22:463-468, 1984.
    • (1984) J. ACM , vol.22 , pp. 463-468
    • Ibarra, O.H.1    Kim, C.E.2
  • 9
    • 32444438301 scopus 로고    scopus 로고
    • Comparison of evolutionary multiobjective optimization with reference solution-based single-objective approach
    • DOI 10.1145/1068009.1068142, GECCO 2005 - Genetic and Evolutionary Computation Conference
    • H. Ishibuchi and K. Narukawa. Comparison of for Evolutionary Multiobjective Optimization with Reference Solution-Based Single-Objective Approach. In Proc. Genetic and Evolutionary Computations Conference (GECCO 05), pages 787-794, ACM, June 2005. (Pubitemid 43226376)
    • (2005) GECCO 2005 - Genetic and Evolutionary Computation Conference , pp. 787-794
    • Ishibuchi, H.1    Narukawa, K.2
  • 10
    • 0036671292 scopus 로고    scopus 로고
    • On the performance of multiple-objective genetic local search on the 0/1 knapsack problem-A comparative experiment
    • DOI 10.1109/TEVC.2002.802873, PII 1011092002802873
    • A. Jaszkiewicz. On the Performance of Multiobjective Genetic Local Search on the 0-1 Knapsack Problem - A Comparative Experiment. IEEE Transactions on Evolutionary Computation, 6(4):402-412, August 2002. (Pubitemid 35032741)
    • (2002) IEEE Transactions on Evolutionary Computation , vol.6 , Issue.4 , pp. 402-412
    • Jaszkiewicz, A.1
  • 11
    • 0033666525 scopus 로고    scopus 로고
    • M-PAES: A memetic algorithm for multiobjective optimization
    • Las Vegas, Nevada, USA, July
    • J. D. Knowles and D. W. Corne. M-PAES: A Memetic Algorithm for Multiobjective Optimization. In Proc. IEEE Conference on Evolutionary Computation, pages 325-322, Las Vegas, Nevada, USA, July 2000.
    • (2000) Proc. IEEE Conference on Evolutionary Computation , pp. 325-322
    • Knowles, J.D.1    Corne, D.W.2
  • 12
    • 77958151592 scopus 로고    scopus 로고
    • On metrics for comparing nondominated sets
    • Piscataway, NJ, May. IEEE
    • J. D. Knowles and D. W. Come. On Metrics for Comparing Nondominated Sets. In Proc. Congress Evolutionary Computation (CEC '02), volume I, pages 711-716, Piscataway, NJ, May 2002. IEEE.
    • (2002) Proc. Congress Evolutionary Computation (CEC '02) , vol.1 , pp. 711-716
    • Knowles, J.D.1    Come, D.W.2
  • 13
    • 24944565418 scopus 로고    scopus 로고
    • Running time analysis of a multiobjective evolutionary algorithm on simple and hard problems
    • Foundations of Genetic Algorithms: 8th International Workshop, FOGA 2005, Revised Selected Papers
    • R. Kumar and Nlanjan Banerjee. Running Time Analysis of a Multiobjective Evolutionary Algorithm on Simple and Hard Problems. In Proc. Foundations of Genetic Algorithms (FOGA-05), LNCS 3469, pages 112-131, 2005. (Pubitemid 41313310)
    • (2005) Lecture Notes in Computer Science , vol.3469 , pp. 112-131
    • Kumar, R.1    Banerjee, N.2
  • 15
    • 0036718538 scopus 로고    scopus 로고
    • Improved sampling of the pareto-front in multiobjective genetic optimization by steady-state evolution: A pareto converging genetic algorithm
    • R. Kumar and P.I. Rockett. Improved Sampling of the Pareto-front in Multiobjective Genetic Optimization by Steady-State Evolution: A Pareto Converging Genetic Algorithm. Evolutionary Computation, 10(3):283-314, 2002.
    • (2002) Evolutionary Computation , vol.10 , Issue.3 , pp. 283-314
    • Kumar, R.1    Rockett, P.I.2
  • 16
    • 0031704179 scopus 로고    scopus 로고
    • An improved genetic algorithm for the multiconstrained 0-1 knapsack problem
    • May
    • G. Raidl. An Improved Genetic Algorithm for the Multiconstrained 0-1 Knapsack Problem. In Proc. IEEE Conference on Evolutionary Computation, pages 207-211, May 1998.
    • (1998) Proc. IEEE Conference on Evolutionary Computation , pp. 207-211
    • Raidl, G.1
  • 21
    • 0033318858 scopus 로고    scopus 로고
    • Multiobjective evolutionary algorithms a comparative case study and the strength pareto approach
    • DOI 10.1109/4235.797969
    • E. Zitzler and L. Thiele. Multiobjective Evolutionary Algorithms: a Comparative Case Study and the Strength Pareto Approach. IEEE Trans. Evolutionary Computation, 3:257-271, 1999. (Pubitemid 30544879)
    • (1999) IEEE Transactions on Evolutionary Computation , vol.3 , Issue.4 , pp. 257-271
    • Zitzler Eckart1    Thiele Lothar2


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