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» A New Crossover Operator for Genetic Algorithms
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125
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AUSAI
2003
Springer
15 years 10 months ago
Guided Operators for a Hyper-Heuristic Genetic Algorithm
We have recently introduced a hyper-heuristic genetic algorithm (hyper-GA) with an adaptive length chromosome which aims to evolve an ordering of low-level heuristics so as to find...
Limin Han, Graham Kendall
148
Voted
GECCO
2007
Springer
163views Optimization» more  GECCO 2007»
15 years 11 months ago
Effects of the use of non-geometric binary crossover on evolutionary multiobjective optimization
In the design of evolutionary multiobjective optimization (EMO) algorithms, it is important to strike a balance between diversity and convergence. Traditional mask-based crossover...
Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto...
GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
15 years 9 months ago
Smart crossover operator with multiple parents for a Pittsburgh learning classifier system
This paper proposes a new smart crossover operator for a Pittsburgh Learning Classifier System. This operator, unlike other recent LCS approaches of smart recombination, does not ...
Jaume Bacardit, Natalio Krasnogor
MICAI
2005
Springer
15 years 11 months ago
A Comparison of Memetic Recombination Operators for the MinLA Problem
In this paper the Minimum Linear Arrangement (MinLA) problem is studied within the framework of memetic algorithms (MA). A new dedicated recombination operator called Trajectory Cr...
Eduardo Rodriguez-Tello, Jin-Kao Hao, Jose Torres-...
CEC
2003
IEEE
15 years 10 months ago
Homology gives size control in genetic programming
Abstract- The Maximum Homologous Crossover attempts to preserve similar structures from parents by aligning them according to their homology. In this paper, it is successfully test...
Michael Defoin-Platel, Manuel Clergue, Philippe Co...