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» Group Properties of Crossover and Mutation
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EC
2002
121views ECommerce» more  EC 2002»
13 years 4 months ago
Group Properties of Crossover and Mutation
It is supposed that the finite search space has certain symmetries which can be described in terms of a group of permutations acting upon it. If crossover and mutation respect th...
Jonathan E. Rowe, Michael D. Vose, Alden H. Wright
GECCO
2003
Springer
108views Optimization» more  GECCO 2003»
13 years 10 months ago
Implicit Parallelism
This paper assumes a search space of fixed-length strings, where the size of the alphabet can vary from position to position. Structural crossover is mask-based crossover, and thu...
Alden H. Wright, Michael D. Vose, Jonathan E. Rowe
ISICA
2007
Springer
13 years 11 months ago
Fast Multi-swarm Optimization with Cauchy Mutation and Crossover Operation
The standard Particle Swarm Optimization (PSO) algorithm is a novel evolutionary algorithm in which each particle studies its own previous best solution and the group’s previous ...
Qing Zhang, Changhe Li, Yong Liu, Lishan Kang
FOGA
2007
13 years 6 months ago
Neighborhood Graphs and Symmetric Genetic Operators
In the case where the search space has a group structure, classical genetic operators (mutation and two-parent crossover) which respect the group action are completely characterize...
Jonathan E. Rowe, Michael D. Vose, Alden H. Wright
EC
2010
127views ECommerce» more  EC 2010»
13 years 2 months ago
Representation Invariant Genetic Operators
A genetic algorithm is invariant with respect to a set of representations if it runs the same no matter which of the representations is used. We formalize this concept mathematica...
Jonathan E. Rowe, Michael D. Vose, Alden H. Wright