On the effiectivity of evolutionary algorithms for the multidimensional knapsack problem

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1829, Issue , 2000, Pages 23-37

  Gottlieb, Jens ^a  

^a CLAUSTHAL UNIVERSITY OF TECHNOLOGY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

COMBINATORIAL OPTIMIZATION;

EVOLUTIONARY ALGORITHMS (EAS); FEASIBLE REGIONS; KNAPSACK PROBLEMS; MULTIDIMENSIONAL KNAPSACK PROBLEMS; OPTIMIZATION METHOD; SEARCH SPACES;

EVOLUTIONARY ALGORITHMS;

EID: 33749243415     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/10721187_2     Document Type: Conference Paper

References (30)

1. P. C. Chu and J. E. Beasley. A Genetic Algorithm for the Multidimensional Knapsack Problem. Journal of Heuristics. Volume 4, No. 1, 63-86, 1998
2. P. C. Chu. A Genetic Algorithm Approach for Combinatorial Optimisation Problems. PhD Thesis, The Management School, Imperial College of Science, Technology and Medicine, London, 1997
3. F. Corno, M. Sonza Reorda, and G. Squillero. The Selfish Gene Algorithm: a new Evolutionary Optimization Strategy. In Proceedings of the 13th Annual ACM Symposium on Applied Computing. 1998
4. A. E. Eiben, T. Back, M. Schoenauer, and H.-P. Schwefel (eds.). Parallel Problem Solving from Nature-PPSN V. Lecture Notes in Computer Science, Volume 1498, Springer, 1998
5. V. Gordon, A. Bohm, and D. Whitley. A Note on the Performance of Genetic Algorithms on Zero-One Knapsack Problems. Technical Report CS-93-108, Department of Computer Science, Colorado State University, 1993
6. M. R. Garey and D. S. Johnson. Computers and Intractability: A Guide to the Theory of NP-Completeness. W. H. Freeman, San Francisco, 1979
7. J. Gottlieb. Evolutionary Algorithms for Multidimensional Knapsack Problems: the Relevance of the Boundary of the Feasible Region. In Proceedings of the Genetic and Evolutionary Computation Conference, 787, 1999
8. J. Gottlieb and G. R. Raidl. Characterizing Locality in Decoder-Based EAs for the Multidimensional Knapsack Problem. In Proceedings of Artificial Evolution, 1999
9. V. Gordon and D. Whitley. Serial and Parallel Genetic Algorithms as Function Optimizers. In S. Forrest (ed.), Proceedings of the Fifth International Conference on Genetic Algorithms, 177-183, Morgan Kaufmann, 1993
10. R. Hinterding. Mapping, Order-independent Genes and the Knapsack Problem. In Proceedings of the 1st IEEE International Conference on Evolutionary Computation, 13-17, 1994
11. A. Hoff, A. Løkketangen, and I. Mittet. Genetic Algorithms for 0/1 Multidimensional Knapsack Problems. In Proceedings Norsk Informatikk Kon- feranse, 1996
12. J. H. Holland. Adaptation in Natural and Artificial Systems. University of Michigan Press, Ann Arbor, 1975
13. S. Khuri and A. Batarekh. Heuristics for the Integer Knapsack Problem. In Proceedings of the 10th International Computer Science Conference, 161-172, Santiago, Chile, 1990
14. S. Khuri, T. Bäck, and J. Heitkötter. An Evolutionary Approach to Combinatorial Optimization Problems. In D. Cizmar (ed.), Proceedings of the 22nd Annual ACM Computer Science Conference, 66-73, ACM Press, New York, 1994
15. S. Khuri, T. Bäck, and J. Heitkötter. The Zero/One Multiple Knapsack Problem and Genetic Algorithms. In E. Deaton, D. Oppenheim, J. Urban, and H. Berghel (eds.), Proceedings of the ACM Symposium on Applied Computation, 188-193, ACM Press, 1994
16. F.-T. Lin, C.-Y. Kao, and C.-C. Hsu. Applying the Genetic Approach to Simulated Annealing in Solving Some NP-Hard Problems. IEEE Transactions on Systems, Man, and Cybernetics. Volume 23, No. 6, 1752-1767, 1993
17. A. Løkketangen. A Comparison of a Genetic Algorithm and a Tabu Search Method for 0/1 Multidimensional Knapsack Problems. In Proceedings of the Nordic Operations Research Conference, 1995
18. Z. Michalewicz and J. Arabas. Genetic Algorithms for the 0/1 Knapsack Problem. In Z. W. Ras and Z. Zemankova (eds.), Proceedings of the 8th International Symposium on Methodologies for Intelligent Systems, 134-143, Lecture Notes in Artificial Intelligence, Volume 869, Springer, 1994
19. A. Mayer. ptGAs-Genetic Algorithms Evolving Noncoding Segments by Means of Promoter/Terminator Sequences. Evolutionary Computation. Volume 6, No. 4, 361-386, 1998
20. Z. Michalewicz. Heuristic Methods for Evolutionary Computation Techniques. Journal of Heuristics. Volume 1, No. 2, 177-206, 1995
21. S. Martello and P. Toth, Knapsack Problems, John Wiley & Sons, 1990
22. A. L. Olsen. Penalty functions and the knapsack problem. In Proceedings of the 1st IEEE International Conference on Evolutionary Computation, 554-558, 1994
23. R. Raidl. An Improved Genetic Algorithm for the Multiconstrained 0-1 Knapsack Problem. In Proceedings of the 5th IEEE International Conference on Evolutionary Computation, 207-211, 1998
24. G. R. Raidl. Weight-Codings in a Genetic Algorithm for the Multiconstraint Knapsack Problem. In Proceedings of the Congress on Evolutionary Computation, 596-603, 1999
25. J. T. Richardson, M. R. Palmer, G. Liepins, and M. Hilliard. Some Guidelines for Genetic Algorithms with Penalty Functions. In J. D. Schaffer (ed.), Proceedings of the Third International Conference on Genetic Algorithms, 191-197, Morgan Kaufmann, 1989
26. G. Rudolph and J. Sprave. A Cellular Genetic Algorithm with Self- Adjusting Acceptance Threshold. In Proceedings of the 1st IEE/IEEE International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications, 365-372, IEE, London, 1995
27. G. Rudolph and J. Sprave. Significance of Locality and Selection Pressure in the Grand Deluge Evolutionary Algorithm. In H.-M. Voigt, W. Ebeling,Rechenberg, and H.-P. Schwefel (eds.), Parallel Problem Solving from Nature-PPSN IV, 686-695, Lecture Notes in Computer Science, Volume 1141, Springer, 1996
28. J. Thiel and S. Voss. Some Experiences on Solving Multiconstraint Zero- One Knapsack Problems with Genetic Algorithms. INFOR, Volume 32, No. 4, 226-242, 1994
29. R. Yang. Line-Breeding Schemes for Combinatorial Optimization, 448-457, in [EBSS98]
30. E. Zitzler and L. Thiele. Multiobjective Optimization Using Evolutionary Algorithms-A Comparative Case Study, 292-301, in [EBSS98]