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GECCO
2004
Springer
143views Optimization» more  GECCO 2004»
14 years 3 months ago
Efficient Clustering-Based Genetic Algorithms in Chemical Kinetic Modelling
Two efficient clustering-based genetic algorithms are developed for the optimisation of reaction rate parameters in chemical kinetic modelling. The genetic algorithms employed are ...
Lionel Elliott, Derek B. Ingham, Adrian G. Kyne, N...
GECCO
2004
Springer
124views Optimization» more  GECCO 2004»
14 years 3 months ago
Clustering with Niching Genetic K-means Algorithm
GA-based clustering algorithms often employ either simple GA, steady state GA or their variants and fail to consistently and efficiently identify high quality solutions (best known...
Weiguo Sheng, Allan Tucker, Xiaohui Liu
GECCO
2004
Springer
130views Optimization» more  GECCO 2004»
14 years 3 months ago
The Shifting Balance Genetic Algorithm as More than Just Another Island Model GA
The Shifting Balance Genetic Algorithm (SBGA) is an extension of the Genetic Algorithm (GA) that was created to promote guided diversity to improve performance in highly multimodal...
Mark Wineberg, Jun Chen
GECCO
2003
Springer
14 years 2 months ago
Problem-Independent Schema Synthesis for Genetic Algorithms
Abstract. As a preprocessing for genetic algorithms, static reordering helps genetic algorithms effectively create and preserve high-quality schemata, and consequently improves th...
Yong-Hyuk Kim, Yung-Keun Kwon, Byung Ro Moon
GECCO
2003
Springer
122views Optimization» more  GECCO 2003»
14 years 2 months ago
The Virtual Gene Genetic Algorithm
This paper presents the virtual gene genetic algorithm (vgGA) which is a generalization of traditional genetic algorithms that use binary linear chromosomes. In the vgGA, tradition...
Manuel Valenzuela-Rendón