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» Initial Population Diversity Does Not Influence Performance
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GEM
2008
13 years 6 months ago
Initial Population Diversity Does Not Influence Performance
- It is widely believed that greater initial population diversity leads to improved performance in genetic algorithms. However, this assumption has not been rigorously tested previ...
Pedro A. Diaz-Gomez, Dean F. Hougen
AIPRF
2007
13 years 6 months ago
Empirical Study: Initial Population Diversity and Genetic Algorithm Performance
This article presents an empirical study regarding the hypothesis that higher diversity in initial populations for Genetic Algorithms can reduce the number of iterations required ...
Pedro A. Diaz-Gomez, Dean F. Hougen
GECCO
2005
Springer
110views Optimization» more  GECCO 2005»
13 years 10 months ago
Towards identifying populations that increase the likelihood of success in genetic programming
This paper presents a comprehensive, multivariate account of how initial population material is used over the course of a genetic programming run as while various factors influenc...
Jason M. Daida
MICAI
2007
Springer
13 years 10 months ago
Handling Constraints in Particle Swarm Optimization Using a Small Population Size
This paper presents a particle swarm optimizer for solving constrained optimization problems which adopts a very small population size (five particles). The proposed approach uses...
Juan Carlos Fuentes Cabrera, Carlos A. Coello Coel...
GECCO
2003
Springer
137views Optimization» more  GECCO 2003»
13 years 9 months ago
The Spatially-Dispersed Genetic Algorithm
Abstract. Spatially structured population models improve the performance of genetic algorithms by assisting the selection scheme in maintaining diversity. A significant concern wi...
Grant Dick