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» Crossover in Probability Spaces
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GECCO
2008
Springer
108views Optimization» more  GECCO 2008»
13 years 11 months ago
The effects of mutation and directed intervention crossover when applied to scheduling chemotherapy
This paper discusses the effects of mutation and directed intervention crossover approaches when applied to the derivation of cancer chemotherapy treatment schedules. Unlike trad...
Paul M. Godley, David E. Cairns, Julie Cowie, Kevi...
EC
2002
121views ECommerce» more  EC 2002»
13 years 9 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»
14 years 3 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
GECCO
1999
Springer
126views Optimization» more  GECCO 1999»
14 years 2 months ago
Improving Genetic Algorithms by Search Space Reductions (with Applications to Flow Shop Scheduling)
Crossover operators that preserve common components can also preserve representation level constraints. Consequently, these constraints can be used to beneficially reduce the sea...
Stephen Y. Chen, Stephen F. Smith
IJCAI
2007
13 years 11 months ago
Adaptive Genetic Algorithm with Mutation and Crossover Matrices
A matrix formulation for an adaptive genetic algorithm is developed using mutation matrix and crossover matrix. Selection, mutation, and crossover are all parameter-free in the se...
Nga Lam Law, Kwok Yip Szeto