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» The Spatially-Dispersed Genetic Algorithm
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154
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IIS
2003
15 years 5 months ago
Function Optimization with Coevolutionary Algorithms
Abstract. The problem of parallel and distributed function optimization with coevolutionary algorithms is considered. Two coevolutionary algorithms are used for this purpose and co...
Franciszek Seredynski, Albert Y. Zomaya, Pascal Bo...
102
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CEC
2008
IEEE
15 years 10 months ago
A contour method in population-based stochastic algorithms
—Inspired by the contours in topography, this paper proposes a contour method for the population-based stochastic algorithms to solve the problems with continuous variables. Rely...
Ying Lin, Jun Zhang, Lu-kai Lan
122
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KES
2005
Springer
15 years 9 months ago
Dafo, a Multi-agent Framework for Decomposable Functions Optimization
This paper introduces Dafo, a new multi-agent framework for evolutionary optimization relying on a competitive coevolutionary genetic algorithm, aka LCGA (Loosely Coupled Genetic A...
Grégoire Danoy, Pascal Bouvry, Olivier Bois...
122
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IPPS
2006
IEEE
15 years 9 months ago
A combined genetic-neural algorithm for mobility management
This work presents a new approach to solve the location management problem by using the location areas approach. A combination of a genetic algorithm and the Hopfield neural netwo...
Javid Taheri, Albert Y. Zomaya
146
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GECCO
2007
Springer
192views Optimization» more  GECCO 2007»
15 years 7 months ago
A new crossover technique for Cartesian genetic programming
Genetic Programming was first introduced by Koza using tree representation together with a crossover technique in which random sub-branches of the parents' trees are swapped ...
Janet Clegg, James Alfred Walker, Julian Francis M...