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» Crossover in Probability Spaces
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GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
14 years 4 months ago
Discussion of parallel model of multi-objective genetic algorithms on heterogeneous computational resources
— In this paper, a parallel model of multi-objective genetic algorithm supposing a grid environment is discussed. In this proposed parallel model, we extended master-slave model ...
Tomoyuki Hiroyasu, Kengo Yoshii, Mitsunori Miki
CEC
2008
IEEE
14 years 4 months ago
Semantically driven crossover in genetic programming
—Crossover forms one of the core operations in genetic programming and has been the subject of many different investigations. We present a novel technique, based on semantic anal...
Lawrence Beadle, Colin G. Johnson
GECCO
2004
Springer
134views Optimization» more  GECCO 2004»
14 years 3 months ago
Central Point Crossover for Neuro-genetic Hybrids
In this paper, we consider each neural network as a point in a multi-dimensional problem space and suggest a crossover that locates the central point of a number of neural networks...
Soonchul Jung, Byung Ro Moon
GECCO
2003
Springer
14 years 3 months ago
The Structure of Evolutionary Exploration: On Crossover, Buildings Blocks, and Estimation-Of-Distribution Algorithms
Correlations between alleles after selection are an important source of information. Such correlations should be exploited for further search and thereby constitute the building bl...
Marc Toussaint
GECCO
2009
Springer
109views Optimization» more  GECCO 2009»
14 years 4 months ago
Crossover operators for multiobjective k-subset selection
Genetic algorithms are often applied to combinatorial optimization problems, the most popular one probably being the traveling salesperson problem. In contrast to permutations use...
Thorsten Meinl, Michael R. Berthold