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» Geometric crossover for the permutation representation
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GECCO
2005
Springer
113views Optimization» more  GECCO 2005»
13 years 11 months ago
Topological crossover for the permutation representation
Abstract. Topological crossovers are a class of representation-independent operators that are well-defined once a notion of distance over the solution space is defined. In this pap...
Alberto Moraglio, Riccardo Poli
CEC
2005
IEEE
13 years 11 months ago
Geometric landscape of homologous crossover for syntactic trees
The relationship between search space, distances and genetic operators for syntactic trees is little understood. Geometric crossover and geometric mutation are representation-indep...
Alberto Moraglio, Riccardo Poli
EUROGP
2006
Springer
137views Optimization» more  EUROGP 2006»
13 years 9 months ago
Geometric Crossover for Biological Sequences
This paper extends a geometric framework for interpreting crossover and mutation [4] to the case of sequences. This representation is important because it is the link between artif...
Alberto Moraglio, Riccardo Poli, Rolv Seehuus
CEC
2010
IEEE
13 years 6 months ago
Geometric Nelder-Mead Algorithm for the permutation representation
The Nelder-Mead Algorithm (NMA) is an almost half-century old method for numerical optimization, and it is a close relative of Particle Swarm Optimization (PSO) and Differential Ev...
Alberto Moraglio, Julian Togelius
GECCO
2009
Springer
109views Optimization» more  GECCO 2009»
13 years 12 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