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GECCO
2005
Springer
110views Optimization» more  GECCO 2005»
16 years 1 days ago
A genetic algorithm encoding for a class of cardinality constraints
A genetic algorithm encoding is proposed which is able to automatically satisfy a class of important cardinality constraints where the set of distinct values of the design variabl...
Helio J. C. Barbosa, Afonso C. C. Lemonge
GECCO
2005
Springer
100views Optimization» more  GECCO 2005»
16 years 1 days ago
Evolutionary tree genetic programming
We introduce a clustering-based method of subpopulation management in genetic programming (GP) called Evolutionary Tree Genetic Programming (ETGP). The biological motivation behin...
Ján Antolík, William H. Hsu
GECCO
2005
Springer
140views Optimization» more  GECCO 2005»
16 years 1 days ago
Isolating the benefits of respect
The three mechanisms of crossover are transmission, assortment, and respect. Of these three mechanisms, assortment (i.e. recombination) is traditionally viewed as the primary feat...
Stephen Chen, Gregory Pitt
GECCO
2005
Springer
108views Optimization» more  GECCO 2005»
16 years 1 days ago
Some theoretical results about the computation time of evolutionary algorithms
This paper focuses on the computation time of evolutionary algorithms. First, some exact expressions of the mean first hitting times of general evolutionary algorithms in finite...
Lixin X. Ding, Jinghu Yu
GECCO
2005
Springer
126views Optimization» more  GECCO 2005»
16 years 1 days ago
Not all linear functions are equally difficult for the compact genetic algorithm
Estimation of distribution algorithms (EDAs) try to solve an optimization problem by finding a probability distribution focussed around its optima. For this purpose they conduct ...
Stefan Droste