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EVOW
2004
Springer
14 years 24 days ago
Improving Edge Recombination through Alternate Inheritance and Greedy Manner
Genetic Algorithms (GAs) are well-known heuristic algorithms and have been widely applied to solve combinatorial problems. Edge recombination is one of the famous crossovers design...
Chuan-Kang Ting
INFORMATICALT
2006
88views more  INFORMATICALT 2006»
13 years 7 months ago
Improving the Performances of Asynchronous Algorithms by Combining the Nogood Processors with the Nogood Learning Techniques
Abstract. The asynchronous techniques that exist within the programming with distributed constraints are characterized by the occurrence of the nogood values during the search for ...
Ionel Muscalagiu, Vladimir Cretu
GECCO
2005
Springer
122views Optimization» more  GECCO 2005»
14 years 28 days ago
An enhanced GA to improve the search process reliability in tuning of control systems
Evolutionary Algorithms (EAs) have been largely applied to optimisation and synthesis of controllers. In spite of several successful applications and competitive solutions, the st...
Andrea Soltoggio
ICTAI
2007
IEEE
14 years 1 months ago
A Java-Based Distributed Genetic Algorithm Framework
Distributed Genetic Algorithm (DGA) is one of the most promising choices among the optimization methods. In this paper we describe DGAFrame, a flexible framework for evolutionary...
Gabi Escuela, Yudith Cardinale, Jorge Gonzá...
ECAL
2007
Springer
14 years 1 months ago
Genotype Editing and the Evolution of Regulation and Memory
Our agent-based model of genotype editing is defined by two distinct genetic components: a coding portion encoding phenotypic solutions, and a non-coding portion used to edit the ...
Luis Mateus Rocha, Jasleen Kaur