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» A New Crossover Operator for Genetic Algorithms
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FLAIRS
2001
13 years 9 months ago
Introducing Local Optimization for Effective Initialization and Crossover of Genetic Decision Trees
We introduce a new genetic operator, Reduction, that rectifies decision trees not correct syntactically and at the same time removes the redundant sections within, while preservin...
Arindam Basak, Sudeshna Sarkar
ECAL
2007
Springer
14 years 1 months ago
Symbiosis, Synergy and Modularity: Introducing the Reciprocal Synergy Symbiosis Algorithm
Symbiosis, the collaboration of multiple organisms from different species, is common in nature. A related phenomenon, symbiogenesis, the creation of new species through the genetic...
Rob Mills, Richard A. Watson
GECCO
2005
Springer
114views Optimization» more  GECCO 2005»
14 years 1 months ago
Exploiting disruption aversion to control code bloat
The authors employ multiple crossovers as a novel natural extension to crossovers as a mixing operator. They use this as a framework to explore the ideas of code growth. Empirical...
Jason Stevens, Robert B. Heckendorn, Terence Soule
GECCO
2009
Springer
133views Optimization» more  GECCO 2009»
14 years 8 days ago
Evolutionary codings and operators for the terminal assignment problem
Given a collection of terminals, each with a demand, a collection of concentrators, each with a capacity, and costs of connecting the terminals to the concentrators, the terminal ...
Bryant A. Julstrom
GECCO
2009
Springer
133views Optimization» more  GECCO 2009»
13 years 5 months ago
Improved analysis methods for crossover-based algorithms
We deepen the theoretical analysis of the genetic algorithm for the all-pairs shortest path problem proposed by Doerr, Happ and Klein (GECCO 2008). We show that the growth of the ...
Benjamin Doerr, Madeleine Theile