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» Credit assignment in adaptive memetic algorithms
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GECCO
2007
Springer
150views Optimization» more  GECCO 2007»
13 years 10 months ago
Credit assignment in adaptive memetic algorithms
Adaptive Memetic Algorithms couple an evolutionary algorithm with a number of local search heuristics for improving the evolving solutions. They are part of a broad family of meta...
J. E. Smith
GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
13 years 8 months ago
Credit assignment in adaptive evolutionary algorithms
In this paper, a new method for assigning credit to search operators is presented. Starting with the principle of optimizing search bias, search operators are selected based on an...
James M. Whitacre, Q. Tuan Pham, Ruhul A. Sarker
GECCO
2006
Springer
164views Optimization» more  GECCO 2006»
13 years 8 months ago
Adaptation for parallel memetic algorithm based on population entropy
In this paper, we propose the island model parallel memetic algorithm with diversity-based dynamic adaptive strategy (PMADLS) for controlling the local search frequency and demons...
Jing Tang, Meng-Hiot Lim, Yew-Soon Ong
GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
13 years 9 months ago
Toward comparison-based adaptive operator selection
Adaptive Operator Selection (AOS) turns the impacts of the applications of variation operators into Operator Selection through a Credit Assignment mechanism. However, most Credit ...
Álvaro Fialho, Marc Schoenauer, Michè...
CEC
2005
IEEE
13 years 10 months ago
Adaptive local search parameters for real-coded memetic algorithms
AbstractThis paper presents a real-coded memetic algorithm that combines a high diversity global exploration with an adaptive local search method to the most promising individuals ...
Daniel Molina, Francisco Herrera, Manuel Lozano