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GECCO
2008
Springer
161views Optimization» more  GECCO 2008»
15 years 7 months ago
A new quantum behaved particle swarm optimization
This paper presents a variant of Quantum behaved Particle Swarm Optimization (QPSO) named Q-QPSO for solving global optimization problems. The Q-QPSO algorithm is based on the cha...
Millie Pant, Radha Thangaraj, Ajith Abraham
GECCO
2008
Springer
148views Optimization» more  GECCO 2008»
15 years 7 months ago
Combining cartesian genetic programming with an estimation of distribution algorithm
This paper describes initial testing of a novel idea to combine a CGP with an EDA. In recent work a new improved crossover technique was successfully applied to a CGP. To implemen...
Janet Clegg
GECCO
2008
Springer
156views Optimization» more  GECCO 2008»
15 years 7 months ago
Computing minimum cuts by randomized search heuristics
We study the minimum s-t-cut problem in graphs with costs on the edges in the context of evolutionary algorithms. Minimum cut problems belong to the class of basic network optimiz...
Frank Neumann, Joachim Reichel, Martin Skutella
GECCO
2008
Springer
160views Optimization» more  GECCO 2008»
15 years 7 months ago
An estimation distribution algorithm with the spearman's rank correlation index
This article arguments that rank correlation coefficients are powerful association measures and how can they be adopted by EDAs. A new EDA implements the proposed ideas: the Non-P...
Arturo Hernández Aguirre, Enrique Raú...
GECCO
2008
Springer
139views Optimization» more  GECCO 2008»
15 years 7 months ago
Behavior-based speciation for evolutionary robotics
This paper describes a speciation method that allows an evolutionary process to learn several robot behaviors using a single execution. Species are created in behavioral space in ...
Leonardo Trujillo, Gustavo Olague, Evelyne Lutton,...