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GECCO
2005
Springer
207views Optimization» more  GECCO 2005»
14 years 2 months ago
Adaptive crossover and mutation in genetic algorithms based on clustering technique
Instead of having fixed px and pm, this paper presents the use of fuzzy logic to adaptively tune px and pm for optimization of power electronic circuits throughout the process. By...
Jun Zhang, Henry Shu-Hung Chung, Jinghui Zhong
GECCO
2005
Springer
100views Optimization» more  GECCO 2005»
14 years 2 months ago
Genetic programming as a method to develop powerful predictive models for clinical diagnosis
In the field of medicine it is of vital importance to accurately predict the presence of a disease (diagnostic prediction) or the future occurrence of a certain event (prognostic...
Ivar Siccama, Maarten Keijzer
GECCO
2004
Springer
234views Optimization» more  GECCO 2004»
14 years 2 months ago
A Generic Network Design for a Closed-Loop Supply Chain Using Genetic Algorithm
Recently much research has focused on both the supply chain and reverse logistics network design problem. The rapid progress in computer and network technology and the increasingly...
Eoksu Sim, Sungwon Jung, Haejoong Kim, Jinwoo Park
GECCO
2009
Springer
107views Optimization» more  GECCO 2009»
14 years 1 months ago
Evolving distributed algorithms with genetic programming: election
In this paper, we present a detailed analysis of the application of Genetic Programming to the evolution of distributed algorithms. This research field has many facets which make...
Thomas Weise, Michael Zapf
MICRO
1990
IEEE
147views Hardware» more  MICRO 1990»
14 years 1 months ago
Motivation and framework for using genetic algorithms for microcode compaction
Genetic algorithms are a robust adaptive optimization technique based on a biological paradigm. They perform efficient search on poorly-defined spaces by maintaining an ordered po...
Steven J. Beaty, Darrell Whitley, Gearold Johnson