Genetic algorithms: A tool for modelling, simulation, and optimization of complex systems

Cybernetics and Systems

Volumn 29, Issue 7, 1998, Pages 639-659

  Szczerbicka, Helena ^a   Becker, Matthias ^a   Syrjakow, Michael ^b  

^a UNIVERSITY OF BREMEN   (Germany)

^b UNIVERSITY OF KARLSRUHE   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; FLEXIBLE MANUFACTURING SYSTEMS; LARGE SCALE SYSTEMS; MATHEMATICAL MODELS; OPTIMIZATION;

KANBAN SYSTEMS;

GENETIC ALGORITHMS;

EID: 0032186746     PISSN: 01969722     EISSN: 10876553     Source Type: Journal    
DOI: 10.1080/019697298125461     Document Type: Article

References (31)

1. Aarts, E. and J. Korst. 1989. Simulated Annealing and Boltzmann Machines. New York: John Wiley.
2. Baeck, T., F. Hoffmeister, and H. P. Schwefel. 1991. A Survey of Evolution Strategies. In Proc. 4 th International Conference on Genetic Algorithm s, San Mateo, Calif.: Morgan - Kaufmann.
3. Cantu-Paz, E. 1995. A Summary of Research on Parallel Genetic Algorithms, IlliGAL Report No. 95007.
4. Clymer, J. R. 1996. Expansionist/contex-sensitive methodology: Engineering of complex adaptive systems. In IMA Workshop: Evolutionary Algorithms, October 21 -25.
5. Davis, L. D. 1991. Handbook of Genetic Algorithms. Van Nostrand: New York: Reinhold.
6. Eshelmann, L. 1992. The CHC Adaptive Search Algorithm. In Foundations of Genetic Algorithms, ed. G. Rawlings, 256-283. San Mateo, Calif.: Morgan - Kaufmann.
7. Goldberg, D. 1989. Genetic Algorithms in Search, Optimization, and Machine Learning. Reading, MA: Addison - Wesley.
8. Goldberg, D. 1990. Messy genetic algorithms revisited: Studies in mixed size and scale. Complex Systems. 4:415-444.
9. Goldberg, D. 1994a. Genetic and evolutionary algorithms come of age. In CACM. 37:113-119.
10. Goldberg, D. 1994b. The Existential Pleasures of Genetic Algorithms. IlliGAL Report No. 94010.
11. Goldberg, D. and K. Deb. 1991. A comparative Analysis of Selection Schemes. In Foundations of Genetic Algorithms, ed. G. Rawlins, 69-93. San Mateo, Calif.: Morgan Kaufmann.
12. Goldberg, D. and G. Harik. 1995. Human Behaviour, Computation and the Design of Manufacturing Systems. IlliGAL Report No. 95005.
13. Holland, J. 1975. Adaptation in Natural and Artificial Systems, University of Michigan Press.
14. Hooke, R. A. and T. A. Jeeves. 1969. Direct search solution for numerical and statistical problems. J. ACM. 8:212-221.
15. Levine, D. 1996. Application of a hybrid genetic algorithm to airline crew scheduling. Comput. Oper. Res. 23:547-558.
16. Lindemann, C. 1995. Stochastic modelling using DSPNexpress. In Proc. 6th Internat. Workshop on Petri Nets and Performance Modells, 208 —209. Piscat-away, NJ: IEEE Computer Society Press.
17. Macready, W.-G. and D. H. Wolpert. 1996. What makes an optimization problem hard?. In Complexity, 40-46. New York: John Wiley and Sons.
18. Marsan, M., G. Balbo, G. Conte, S. Donatelli, and G. Franceschinis. 1995. Modelling With Generallzed Stochastic Petri Nets. Chicester, England: John Wiley and Sons.
19. Michaelwicz, Z. 1992. Genetic Algorithms + Data Structures = Evolution Pro -grams. Berlin, New York: Springer-Verlag.
20. Mühlenbein, H. 1991. Evolution in time and space —The paralell genetic algorithm. In Foundations of Genetic Algorithms, ed. G. Rawlings, 316-337. San Mateo, Calif.: Morgan-Kaufmann.
21. Pierreval, H. and L. Tautou. 1995. An evolutionary algorithm for the optimization of a simulated manufacturing system. In Proc. 1995 Summer Computer Simulation Conference, Ottawa, Ontario, Canada, 1096-1099.
22. Schonberger, R. J. 1983. Applications of single-card and dual-card kanba. Interfaces 13:56—67.
23. Syrjakow, M. and H. Szczerbicka. 1994. Optimization of simulation models with REMO. In Proc. European Simulation Multiconference ESM’94, Barcelona, Spain, June 1-3, 274-281.
24. Syrjakow, M. and H. Szczerbicka. 1995. Simulation and optimization of complex technical systems. In Proc. 1995 Summer Computer Simulation Conference SCSC’95, Ottawa, Ontario, Canada, July 24-26, 86-95.
25. Syrjakow, M. and H. Szczerbicka. 1996. Acceleration of direct model optimization methods by function approximation. In Proc. European Simulation Simulation ESS’96, Genua, October 21 -25, 181-187.
26. Szczerbicka, H. 1994. Are genetic algorithms a panacea for optimization of simulation models? In Proc. European Simulation Multiconference 1994, eds. Guash and Huber, 38-46.
27. Szczerbicka, H. and M. Syrjakow. 1995. Combination of direct global and local optimization methods. In Proc. 1995 IEEE International Conference on Evolutionary Computing ICEC95, Perth, Western Australia, November 29 - December 1.
28. Whitley, D. 1992. GENITOR II, a distributed genetic algorithm, J. Experiment. Theory Artif. Intell. 189-214.
29. Whitley, D. et al. 1996. Comparing heuristic, evolutionary and local search aproaches to scheduling. Third Artificial Intelligence Planning Systems Con -ference (AIPS-96).
30. Wildberger, M. 1994. Evolutionary Computing. Technical Brief RP8015, 8016, CA8017 EPRI, Palo Alto, CA.
31. Wright, A. 1991. Genetic algorithms for real parameter optimization. In Foun-dations of Genetic Algorithms, ed. G. Rawlings, 205-2218. Morgan-Kauf-mann.