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JCP
2008
92views more  JCP 2008»
9 years 2 months ago
A Hierarchical Gene-Set Genetic Algorithm
In this paper, gene sets, instead of individual genes, are used in the genetic process to speed up convergence. A gene-set mutation operator is proposed, which can make several nei...
Tzung-Pei Hong, Min-Thai Wu
EOR
2008
106views more  EOR 2008»
9 years 2 months ago
Global and local real-coded genetic algorithms based on parent-centric crossover operators
Parent-centric real-parameter crossover operators create the offspring in the neighbourhood of one of the parents, the female parent. The other parent, the male one, defines the r...
Carlos García-Martínez, Manuel Lozan...
GECCO
2008
Springer
117views Optimization» more  GECCO 2008»
9 years 3 months ago
CrossNet: a framework for crossover with network-based chromosomal representations
We propose a new class of crossover operators for genetic algorithms (CrossNet) which use a network-based (or graphbased) chromosomal representation. We designed CrossNet with the...
Forrest Stonedahl, William Rand, Uri Wilensky
GECCO
2000
Springer
101views Optimization» more  GECCO 2000»
9 years 6 months ago
Using Genetic Algorithms with Asexual Transposition
Traditional Genetic Algorithms (GA) use crossover and mutation as the main genetic operators to achieve population diversity. Previous work using a biologically inspired genetic o...
Anabela Simões, Ernesto Costa
GECCO
2000
Springer
112views Optimization» more  GECCO 2000»
9 years 6 months ago
Code Compaction Using Genetic Algorithms
One method for compacting executable computer code is to replace commonly repeated sequences of instructions with macro instructions from a decoding dictionary. The size of the de...
Keith E. Mathias, Larry J. Eshelman, J. David Scha...
GECCO
2006
Springer
212views Optimization» more  GECCO 2006»
9 years 6 months ago
Non-wrapping order crossover: an order preserving crossover operator that respects absolute position
In this paper, we introduce a new crossover operator for the permutation representation of a GA. This new operator-Non-Wrapping Order Crossover (NWOX)--is a variation of the well-...
Vincent A. Cicirello
EUROGP
2006
Springer
138views Optimization» more  EUROGP 2006»
9 years 6 months ago
Evolving Crossover Operators for Function Optimization
Abstract. A new model for evolving crossover operators for evolutionary function optimization is proposed in this paper. The model is a hybrid technique that combines a Genetic Pro...
Laura Diosan, Mihai Oltean
EUROGP
2001
Springer
110views Optimization» more  EUROGP 2001»
9 years 6 months 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
GECCO
2010
Springer
129views Optimization» more  GECCO 2010»
9 years 7 months ago
A probabilistic functional crossover operator for genetic programming
The original mechanism by which evolutionary algorithms were to solve problems was to allow for the gradual discovery of sub-solutions to sub-problems, and the automated combinati...
Josh C. Bongard
EH
2003
IEEE
90views Hardware» more  EH 2003»
9 years 7 months ago
Evolving Sinusoidal Oscillators Using Genetic Algorithms
In the present paper, single-opamp sinusoidal oscillators are synthesized using genetic algorithms. The motivation is to evolve new topologies of oscillators using different activ...
Varun Aggarwal
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