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» Parallelism and evolutionary algorithms
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131
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CEC
2005
IEEE
15 years 10 months ago
A hybrid approach to parameter tuning in genetic algorithms
Abstract- Choosing the best parameter setting is a wellknown important and challenging task in Evolutionary Algorithms (EAs). As one of the earliest parameter tuning techniques, th...
Bo Yuan, Marcus Gallagher
GECCO
2005
Springer
128views Optimization» more  GECCO 2005»
15 years 10 months ago
Hybrid multiobjective genetic algorithm with a new adaptive local search process
This paper is concerned with a specific brand of evolutionary algorithms: Memetic algorithms. A new local search technique with an adaptive neighborhood setting process is introdu...
Salem F. Adra, Ian Griffin, Peter J. Fleming
ESA
1999
Springer
82views Algorithms» more  ESA 1999»
15 years 9 months ago
Quartet Cleaning: Improved Algorithms and Simulations
A critical step in all quartet methods for constructing evolutionary trees is the inference of the topology for each set of four sequences (i.e. quartet). It is a well–known fact...
Vincent Berry, Tao Jiang, Paul E. Kearney, Ming Li...
145
Voted
GECCO
2006
Springer
176views Optimization» more  GECCO 2006»
15 years 8 months ago
Archive-based cooperative coevolutionary algorithms
Archive-based cooperative coevolutionary algorithms attempt to retain a set of individuals which act as good collaborators for other coevolved individuals in the evolutionary syst...
Liviu Panait, Sean Luke, Joseph F. Harrison
GECCO
2010
Springer
169views Optimization» more  GECCO 2010»
15 years 6 months ago
Stochastic local search in continuous domains: questions to be answered when designing a novel algorithm
Several population-based methods (with origins in the world of evolutionary strategies and estimation-of-distribution algorithms) for black-box optimization in continuous domains ...
Petr Posik