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GECCO
2010
Springer
218views Optimization» more  GECCO 2010»
15 years 1 months ago
Cartesian genetic programming
This paper presents a new form of Genetic Programming called Cartesian Genetic Programming in which a program is represented as an indexed graph. The graph is encoded in the form o...
Julian Francis Miller, Simon L. Harding
CEC
2005
IEEE
15 years 3 months ago
On the convergence of multi-parent genetic algorithms
Abstract— This paper presents a Markov model for the convergence of multi-parent genetic algorithms (MPGAs). The proposed model formulates the variation of gene frequency caused ...
Chuan-Kang Ting
GECCO
2000
Springer
131views Optimization» more  GECCO 2000»
15 years 1 months ago
A Genetic Algorithm with Tabu Search for Multimodal and Multiobjective Function Optimization
The integration of genetic algorithms (GAs) and tabu search is one of traditional problems in function optimization in the GA literature. However, most proposed methods have utili...
Setsuya Kurahashi, Takao Terano
76
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GECCO
2005
Springer
174views Optimization» more  GECCO 2005»
15 years 3 months ago
Diversity as a selection pressure in dynamic environments
Evolutionary algorithms (EAs) are widely used to deal with optimization problems in dynamic environments (DE) [3]. When using EAs to solve DE problems, we are usually interested i...
Lam Thu Bui, Jürgen Branke, Hussein A. Abbass
GECCO
1999
Springer
15 years 1 months ago
A parameter-less genetic algorithm
From the user’s point of view, setting the parameters of a genetic algorithm (GA) is far from a trivial task. Moreover, the user is typically not interested in population sizes,...
Georges R. Harik, Fernando G. Lobo