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GECCO
2006
Springer
179views Optimization» more  GECCO 2006»
13 years 11 months ago
Local search for multiobjective function optimization: pareto descent method
Genetic Algorithm (GA) is known as a potent multiobjective optimization method, and the effectiveness of hybridizing it with local search (LS) has recently been reported in the li...
Ken Harada, Jun Sakuma, Shigenobu Kobayashi
KI
1999
Springer
13 years 12 months ago
Systematic vs. Local Search for SAT
Abstract. Due to its prominence in artificial intelligence and theoretical computer science, the propositional satisfiability problem (SAT) has received considerable attention in...
Holger H. Hoos, Thomas Stützle
GECCO
2004
Springer
106views Optimization» more  GECCO 2004»
14 years 1 months ago
Mutation Rates in the Context of Hybrid Genetic Algorithms
Traditionally, the mutation rates of genetic algorithms are fixed or decrease over the generations. Although it seems to be reasonable for classical genetic algorithms, it may not...
Seung-Hee Bae, Byung Ro Moon
EUROMICRO
2004
IEEE
13 years 11 months ago
An Experimental Framework for Testing Web Prefetching Techniques
The popularity of web objects, and by extension the popularity of the web sites, besides the appearance of clear footprints in user's accesses that show a considerable spatia...
Josep Domènech, Ana Pont, Julio Sahuquillo,...
GECCO
2007
Springer
181views Optimization» more  GECCO 2007»
14 years 1 months ago
A study on metamodeling techniques, ensembles, and multi-surrogates in evolutionary computation
Surrogate-Assisted Memetic Algorithm(SAMA) is a hybrid evolutionary algorithm, particularly a memetic algorithm that employs surrogate models in the optimization search. Since mos...
Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendh...