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GECCO
2005
Springer
154views Optimization» more  GECCO 2005»
15 years 10 months ago
Genetic algorithms using low-discrepancy sequences
The random number generator is one of the important components of evolutionary algorithms (EAs). Therefore, when we try to solve function optimization problems using EAs, we must ...
Shuhei Kimura, Koki Matsumura
GECCO
2003
Springer
103views Optimization» more  GECCO 2003»
15 years 10 months ago
Are Multiple Runs of Genetic Algorithms Better than One?
Abstract. There are conflicting reports over whether multiple independent runs of genetic algorithms (GAs) with small populations can reach solutions of higher quality or can fin...
Erick Cantú-Paz, David E. Goldberg
128
Voted
GECCO
2003
Springer
134views Optimization» more  GECCO 2003»
15 years 10 months ago
A Fixed-Length Subset Genetic Algorithm for the p-Median Problem
Abstract. In this paper, we review some classical recombination operations and devise new heuristic recombinations for the fixed-length subset. Our experimental results on the cla...
Andrew Lim, Zhou Xu
GECCO
2010
Springer
189views Optimization» more  GECCO 2010»
15 years 9 months ago
Knowledge mining with genetic programming methods for variable selection in flavor design
This paper presents a novel approach for knowledge mining from a sparse and repeated measures dataset. Genetic programming based symbolic regression is employed to generate multip...
Katya Vladislavleva, Kalyan Veeramachaneni, Matt B...
151
Voted
GECCO
2009
Springer
130views Optimization» more  GECCO 2009»
15 years 9 months ago
Neutrality and variability: two sides of evolvability in linear genetic programming
The notion of evolvability has been put forward to describe the“core mechanism”of natural and artificial evolution. Recently, studies have revealed the influence of the envi...
Ting Hu, Wolfgang Banzhaf