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» A New Crossover Operator for Genetic Algorithms
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ICNSC
2008
IEEE
14 years 2 months ago
Multiple Sequence Alignment Based on Genetic Algorithms with Reserve Selection
— This paper presents an approach to the multiple sequence alignment (MSA) problem by applying genetic algorithms with a reserve selection mechanism. MSA is one of the most funda...
Yang Chen, Jinglu Hu, Kotaro Hirasawa, Songnian Yu
MICRO
1990
IEEE
147views Hardware» more  MICRO 1990»
13 years 11 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
TCAD
2002
110views more  TCAD 2002»
13 years 7 months ago
A constructive genetic algorithm for gate matrix layout problems
This paper describes an application of a Constructive Genetic Algorithm (CGA) to the Gate Matrix Layout Problem (GMLP). The GMLP happens in very large scale integration (VLSI) desi...
Alexandre César Muniz de Oliveira, Luiz Ant...
EMO
2006
Springer
182views Optimization» more  EMO 2006»
13 years 11 months ago
Multi-objective Pole Placement with Evolutionary Algorithms
Multi-Objective Evolutionary Algorithms (MOEA) have been succesfully applied to solve control problems. However, many improvements are still to be accomplished. In this paper a new...
Gustavo Sánchez, Minaya Villasana, Miguel S...
HIS
2003
13 years 9 months ago
PDGA: the Primal-Dual Genetic Algorithm
Abstract. Genetic algorithms (GAs) are a class of search algorithms based on principles of natural evolution. Hence, incorporating mechanisms used in nature may improve the perform...
Shengxiang Yang