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» A New Crossover Operator for Genetic Algorithms
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CEC
2005
IEEE
13 years 9 months ago
Rank and proximity based crossover (RPC) to improve convergence in genetic search
A new crossover technique, we named Rank and Proximity Based Crossover (RPC), to improve the speed and quality of solutions in Genetic search, is proposed. In the proposed strategy...
Goutam Chakraborty, Basabi Chakraborty
GECCO
2009
Springer
109views Optimization» more  GECCO 2009»
14 years 2 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
AUSAI
2003
Springer
14 years 27 days ago
A New Hybrid Genetic Algorithm for the Robust Graph Coloring Problem
Abstract. The RGCP (Robust Graph Coloring problem) is a new variant of the traditional graph coloring problem. It has numerous practical applications in real world like timetabling...
Ying Kong, Fan Wang, Andrew Lim, Songshan Guo
GECCO
2004
Springer
14 years 1 months ago
Memetic Crossover for Genetic Programming: Evolution Through Imitation
For problems where the evaluation of an individual is the dominant factor in the total computation time of the evolutionary process, minimizing the number of evaluations becomes cr...
Brent E. Eskridge, Dean F. Hougen
EUROGP
2001
Springer
110views Optimization» more  EUROGP 2001»
14 years 5 days ago
General Schema Theory for Genetic Programming with Subtree-Swapping Crossover
Abstract. In this paper a new, general and exact schema theory for genetic programming is presented. The theory includes a microscopic schema theorem applicable to crossover operat...
Riccardo Poli