Dynamic populations in genetic algorithms

Proceedings of the ACM Symposium on Applied Computing

Volumn , Issue , 2008, Pages 1807-1811

  Ma, Zhanshan ^a   Krings, Axel W ^a  

^a UNIVERSITY OF IDAHO   (United States)

Author keywords

Dynamic population; Ecological computation; Evolutionary computation; Fluctuating population; Genetic algorithms

Indexed keywords

BELLS; BLOOD VESSEL PROSTHESES; CALCULATIONS; ELECTRIC CONDUCTIVITY MEASUREMENT; EVOLUTIONARY ALGORITHMS; FUNCTION EVALUATION; GENETIC ALGORITHMS;

BIOLOGICAL POPULATIONS; DYNAMIC POPULATION; ECOLOGICAL COMPUTATION; EVOLUTIONARY COMPUTATION; FLUCTUATING POPULATION; MEMORY SPACES; POPULATION SIZES; POPULATION SIZINGS; SPACE AND TIMES;

POPULATION STATISTICS;

EID: 56749159017     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1363686.1364119     Document Type: Conference Paper

References (7)

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2. Eiben, A. E. & J. E. Smith 2003. Introduction to Evolutionary Computing. Springer.
3. Goldberg, D. E. 1989. Sizing populations for serial and parallel genetic algorithms. in "Proceedings of the Third International Conference on Genetic Algorithms", ed. by David Schaffer. Morgan Kaufman Publishers, pp70-79.
4. Goldberg, D. E. et al. 1992. Genetic algorithms, Noise, and the Sizing of Populations. Complex Systems, 6:333-362.
5. Harik, G., E. Cantǔ-Paz, D. E. Goldberg, and B. L. Miller. 1999. The Gambler's ruin problem, genetic algorithms, and the sizing of populations. Evol. Comput., vol. 7(3):231-253.
6. Holland, J. H. 1975. Adaptation in Natural and Artificial Systems. University of Michigan Press.
7. Wolpert, D. H. and W. G. Macready. 1997. No free lunch theorems for optimization. IEEE Trans. Evol. Comp. 1(1):67-82