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GECCO
1999
Springer
126views Optimization» more  GECCO 1999»
13 years 11 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
IPM
1998
111views more  IPM 1998»
13 years 7 months ago
Crossover Improvement for the Genetic Algorithm in Information Retrieval
- Genetic algorithms (GAs) search for good solutions to a problem by operations inspired from the natural selection of living beings. Among their many uses, we can count informatio...
Dana Vrajitoru
GECCO
2009
Springer
109views Optimization» more  GECCO 2009»
14 years 1 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
EUROGP
2005
Springer
107views Optimization» more  EUROGP 2005»
14 years 26 days ago
Operator-Based Distance for Genetic Programming: Subtree Crossover Distance
Abstract. This paper explores distance measures based on genetic operators for genetic programming using tree structures. The consistency between genetic operators and distance mea...
Steven M. Gustafson, Leonardo Vanneschi
GECCO
2005
Springer
102views Optimization» more  GECCO 2005»
14 years 26 days ago
Latent variable crossover for k-tablet structures and its application to lens design problems
This paper presents the Real-coded Genetic Algorithms for high-dimensional ill-scaled structures, what is called, the ktablet structure. The k-tablet structure is the landscape th...
Jun Sakuma, Shigenobu Kobayashi