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» Solving Mastermind Using Genetic Algorithms
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GECCO
2008
Springer
143views Optimization» more  GECCO 2008»
13 years 9 months ago
Application domain study of evolutionary algorithms in optimization problems
This paper deals with the problem of comparing and testing evolutionary algorithms, that is, the benchmarking problem, from an analysis point of view. A practical study of the app...
Pilar Caamaño, Francisco Bellas, José...
AHS
2006
IEEE
138views Hardware» more  AHS 2006»
14 years 2 months ago
Generalized Disjunction Decomposition for the Evolution of Programmable Logic Array Structures
Evolvable hardware refers to a self reconfigurable electronic circuit, where the circuit configuration is under the control of an evolutionary algorithm. Evolvable hardware has sh...
Emanuele Stomeo, Tatiana Kalganova, Cyrille Lamber...
GECCO
2007
Springer
210views Optimization» more  GECCO 2007»
14 years 2 months ago
Mining breast cancer data with XCS
In this paper, we describe the use of a modern learning classifier system to a data mining task. In particular, in collaboration with a medical specialist, we apply XCS to a prima...
Faten Kharbat, Larry Bull, Mohammed Odeh
GECCO
2005
Springer
103views Optimization» more  GECCO 2005»
14 years 2 months ago
Pricing the 'free lunch' of meta-evolution
A number of recent studies introduced meta-evolutionary strategies and successfully used them for solving problems in genetic programming. While individual results indicate possib...
Alexei V. Samsonovich, Kenneth A. De Jong
ACRI
2004
Springer
14 years 2 months ago
Evolving Transition Rules for Multi Dimensional Cellular Automata
Abstract. Genetic Algorithms have been used before to evolve transition rules for one dimensional Cellular Automata (CA) to solve e.g. the majority problem and investigate communic...
Ron Breukelaar, Thomas Bäck