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IWINAC
2005
Springer
13 years 10 months ago
Parallel Evolutionary Computation: Application of an EA to Controller Design
The evolutionary algorithms can be considered as a powerful and interesting technique for solving large kinds of control problems. However, the great disadvantage of the evolutiona...
Manuel Parrilla Sánchez, Joaquín Ara...
GECCO
2008
Springer
177views Optimization» more  GECCO 2008»
13 years 5 months ago
Reduced computation for evolutionary optimization in noisy environment
Evolutionary Algorithms’ (EAs’) application to real world optimization problems often involves expensive fitness function evaluation. Naturally this has a crippling effect on ...
Maumita Bhattacharya
CEC
2005
IEEE
13 years 10 months ago
Parallel evolutionary algorithms on graphics processing unit
Evolutionary Algorithms (EAs) are effective and robust methods for solving many practical problems such as feature selection, electrical circuits synthesis, and data mining. Howeve...
Man Leung Wong, Tien-Tsin Wong, Ka-Ling Fok
GECCO
2005
Springer
109views Optimization» more  GECCO 2005»
13 years 10 months ago
A hybrid evolutionary algorithm for the p-median problem
A hybrid evolutionary algorithm (EA) for the p-median problem consist of two stages, each of which is a steady-state hybrid EA. These EAs encode selections of medians as subsets o...
István Borgulya
COR
2008
164views more  COR 2008»
13 years 4 months ago
Observations in using parallel and sequential evolutionary algorithms for automatic software testing
In this paper we analyze the application of parallel and sequential evolutionary algorithms (EAs) to the automatic test data generation problem. The problem consists of automatica...
Enrique Alba, J. Francisco Chicano