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GECCO
2004
Springer
126views Optimization» more  GECCO 2004»
14 years 3 months ago
A Gene Based Adaptive Mutation Strategy for Genetic Algorithms
In this study, a new mechanism that adapts the mutation rate for each locus on the chromosomes, based on feedback obtained from the current population is proposed. Through tests us...
Sima Uyar, Sanem Sariel, Gülsen Eryigit
ICMLA
2007
13 years 11 months ago
Improving gene expression programming performance by using differential evolution
Gene Expression Programming (GEP) is an evolutionary algorithm that incorporates both the idea of a simple, linear chromosome of fixed length used in Genetic Algorithms (GAs) and...
Qiongyun Zhang, Chi Zhou, Weimin Xiao, Peter C. Ne...
RSCTC
2000
Springer
126views Fuzzy Logic» more  RSCTC 2000»
14 years 1 months ago
Evolutionary Parsing for a Probabilistic Context Free Grammar
Abstract. Classic parsing methods are based on complete search techniques to find the different interpretations of a sentence. However, the size of the search space increases expon...
Lourdes Araujo
MTA
2007
115views more  MTA 2007»
13 years 9 months ago
Video scene retrieval with interactive genetic algorithm
This paper proposes a video scene retrieval algorithm based on emotion. First, abrupt/gradual shot boundaries are detected in the video clip of representing a specific story. Then,...
Hun-Woo Yoo, Sung-Bae Cho
GECCO
2003
Springer
14 years 3 months ago
A Kernighan-Lin Local Improvement Heuristic That Solves Some Hard Problems in Genetic Algorithms
We present a Kernighan-Lin style local improvement heuristic for genetic algorithms. We analyze the run-time cost of the heuristic. We demonstrate through experiments that the heur...
William A. Greene