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» A New Crossover Operator for Genetic Algorithms
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AUSAI
2007
Springer
14 years 1 months ago
The Detrimentality of Crossover
The traditional concept of a genetic algorithm (GA) is that of selection, crossover and mutation. However, a limited amount of data from the literature has suggested that the nich...
Andrew Czarn, Cara MacNish, Kaipillil Vijayan, Ber...
AE
2005
Springer
14 years 1 months ago
Size Control with Maximum Homologous Crossover
Most of the Evolutionary Algorithms handling variable-sized structures, like Genetic Programming, tend to produce too long solutions and the recombination operator used is often co...
Michael Defoin-Platel, Manuel Clergue, Philippe Co...
AISB
1994
Springer
13 years 11 months ago
Formal Memetic Algorithms
Abstract. A formal, representation-independent form of a memetic algorithm-a genetic algorithm incorporating local search--is introduced. A generalisedform of N-point crossover is ...
Nicholas J. Radcliffe, Patrick D. Surry
EVOW
2001
Springer
14 years 3 days ago
Belief Revision by Lamarckian Evolution
We propose a multi-agent genetic algorithm to accomplish belief revision. The algorithm implements a new evolutionary strategy resulting from a combination of Darwinian and Lamarck...
Evelina Lamma, Luís Moniz Pereira, Fabrizio...
CATA
2007
13 years 9 months ago
Simulated Evolution based Hybrids for Genetic Algorithm and Tabu Search
In this paper, Simulated Evolution based goodness attributes are incorporated into Tabu Search and Genetic Algorithms to enhance performance as compared to canonical strategies. I...
Sadiq M. Sait, Mohammed Faheemuddin, Mustafa I. Al...