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INFORMATICASI
2007
42views more  INFORMATICASI 2007»
13 years 6 months ago
Entropy-Driven Parameter Control for Evolutionary Algorithms
Shih-Hsi Liu, Marjan Mernik, Barrett R. Bryant
EVOW
2010
Springer
14 years 1 months ago
Parameter Tuning of Evolutionary Algorithms: Generalist vs. Specialist
Abstract. Finding appropriate parameter values for Evolutionary Algorithms (EAs) is one of the persistent challenges of Evolutionary Computing. In recent publications we showed how...
Selmar K. Smit, A. E. Eiben
CEC
2007
IEEE
14 years 19 days ago
Towards a generic control strategy for Evolutionary Algorithms: an adaptive fuzzy-learning approach
— This paper presents a new method to generalize strategies in order to control parameters of Evolutionary Algorithms (EAs). A learning process establishes the relationship betwe...
Jorge Maturana, Frédéric Saubion
AE
2007
Springer
14 years 14 days ago
On the Design of Adaptive Control Strategies for Evolutionary Algorithms
This paper focuses on the design of control strategies for Evolutionary Algorithms. We propose a method to encapsulate multiple parameters, reducing control to only one criterion. ...
Jorge Maturana, Frédéric Saubion
SEMCCO
2010
13 years 4 months ago
Differential Evolution Algorithm with Ensemble of Parameters and Mutation and Crossover Strategies
Differential Evolution (DE) has attracted much attention recently as an effective approach for solving numerical optimization problems. However, the performance of DE is sensitive ...
Rammohan Mallipeddi, Ponnuthurai Nagaratnam Sugant...