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GECCO
2009
Springer
145views Optimization» more  GECCO 2009»
10 years 9 months ago
Geometric differential evolution
Geometric Particle Swarm Optimization (GPSO) is a recently introduced formal generalization of traditional Particle Swarm Optimization (PSO) that applies naturally to both continu...
Alberto Moraglio, Julian Togelius
GECCO
2009
Springer
108views Optimization» more  GECCO 2009»
10 years 9 months ago
Genotypic differences and migration policies in an island model
Lourdes Araujo, Juan Julián Merelo Guerv&oa...
GECCO
2009
Springer
132views Optimization» more  GECCO 2009»
10 years 9 months ago
Bringing evolutionary computation to industrial applications with guide
Evolutionary Computation is an exciting research field with the power to assist researchers in the task of solving hard optimization problems (i.e., problems where the exploitabl...
Luís Da Costa, Marc Schoenauer
GECCO
2009
Springer
10 years 9 months ago
Simulating human grandmasters: evolution and coevolution of evaluation functions
Omid David-Tabibi, H. Jaap van den Herik, Moshe Ko...
GECCO
2009
Springer
10 years 9 months ago
An experimental investigation of model-based parameter optimisation: SPO and beyond
Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown, ...
GECCO
2009
Springer
148views Optimization» more  GECCO 2009»
10 years 9 months ago
Evolutionary optimization of multistage interconnection networks performance
The paper deals with optimization of collective communications on multistage interconnection networks (MINs). In the experimental work, unidirectional MINs like Omega, Butterfly a...
Jirí Jaros
GECCO
2009
Springer
135views Optimization» more  GECCO 2009»
10 years 9 months ago
Steady-state ALPS for real-valued problems
The objectives of this paper are to describe a steady-state version of the Age-Layered Population Structure (ALPS) Evolutionary Algorithm (EA) and to compare it against other GAs ...
Gregory S. Hornby
GECCO
2009
Springer
194views Optimization» more  GECCO 2009»
10 years 9 months ago
Combining evolution strategy and gradient descent method for discriminative learning of bayesian classifiers
The optimization method is one of key issues in discriminative learning of pattern classifiers. This paper proposes a hybrid approach of the Covariance Matrix Adaptation Evolution...
Xuefeng Chen, Xiabi Liu, Yunde Jia
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