The effect of oscillating population size and re-initialization on the performance of genetic algorithms

Proceedings of the Third International Conference on Engineering Computational Technology

Volumn , Issue , 2002, Pages 185-186

  Koumousis, V K ^a   Katsaras, C P ^a  

^a NATIONAL TECHNICAL UNIVERSITY OF ATHENS   (Greece)

Author keywords

Genetic algorithms; Micro GA; Variable population

Indexed keywords

COMPUTATIONAL METHODS; CONVERGENCE OF NUMERICAL METHODS; MODAL ANALYSIS; NUMERICAL METHODS; OPTIMIZATION; POPULATION STATISTICS; RANDOM PROCESSES; THEOREM PROVING;

MULTIMODAL PEAK FUNCTIONS; SAW-TOOTH GENETIC ALGORITHMS; VARIABLE POPULATION;

GENETIC ALGORITHMS;

EID: 0036926922     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. Goldberg D.E., "Genetic Algorithms in Search, Optimization and Machine Learning", Addison-Wesley, 1989.
2. Smith J.E., Fogarty T.C. (1997) "Operator and parameter adaptation in genetic algorithms", Soft Computing, Springer-Verlag, 1, 81-87.
3. Eiben E. A., Hinterding R., Michalewicz Z. (1999) "Parameter Control in Evolutionary Algorithms", IEEE-CE, 3(2), 124-143.
4. Carroll D.L., "Fortran Genetic Algorithm" (http://www.cuaerospace.com/carroll/ga.html)
5. Holland J.H. (1975) "Adaptation in Natural and Artificial Systems", Ann Arbor: The University of Michigan Press.
6. Goldberg D.E. and Kumara S., "A Practical Schema Theorem for Genetic Algorithm Design and Tuning", GECCO 2001 Proceedings, pp. 328-335