The influence of population size and search time limit on genetic algorithm

Proceedings - KORUS 2003: 7th Korea-Russia International Symposium on Science and Technology

Volumn 3, Issue , 2003, Pages 181-187

  Tsoy, Y R ^a  

^a NATIONAL RESEARCH TOMSK POLYTECHNIC UNIVERSITY   (Russian Federation)

Author keywords

Character generation; Decision making; Encoding; Equations; Functional programming; Genetic algorithms; Genetic engineering; Humans; Iron; Stochastic processes

Indexed keywords

ALGORITHMS; DECISION MAKING; ENCODING (SYMBOLS); FUNCTIONAL PROGRAMMING; GENETIC ENGINEERING; IRON; NONLINEAR PROGRAMMING; POPULATION STATISTICS; RANDOM PROCESSES; STOCHASTIC SYSTEMS;

CHARACTER GENERATION; EQUATIONS; GENERATIONS NUMBER; GENETIC OPERATORS; HUMANS; POPULATION SIZES; SEARCH SPACES; SEARCH TIME;

GENETIC ALGORITHMS;

EID: 34249057572     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. Cvetković, D., Mühlenbein, H., 1994, The optimal population size for uniform crossover and truncation selection (Technical report 94-11, GMD).
2. De Jong, K. A., Spears, W. M., 1990, Int'l Workshop Parallel Problem Solving from Nature, 38-47.
3. De Jong, K. A., 1975, An Analysis of the Behavior of a Class of Genetic Adaptive Systems, Doctoral Thesis, (USA: Department of Computer and Communication Sciences, University of Michigan, Ann Arbor).
4. Goldberg, D. E., Deb, K., and Clark, J. H., 1991, Genetic Algorithms, Noise and Sizing of Populations, (University of Illinois).
5. Spears, W. M., 1990. Using Neural Networks and Genetic Algorithms as Heuristics for NP-complete Problems, Masters Thesis (Department of Computer Science, George Mason University, Fairfax, Virginia.).
6. Whitley, D., 1994, Statistics and Computing, No. 4, 65-85.