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» Data Mining for Genetics: A Genetic Algorithm Approach
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EURODAC
1994
IEEE
140views VHDL» more  EURODAC 1994»
14 years 1 months ago
GSA: scheduling and allocation using genetic algorithm
This paper describes a unique approach to scheduling and allocation problem in high-level synthesis using genetic algorithm (GA). This approach is dierent from a previous attempt ...
Ali Shahid, Muhammad S. T. Benten, Sadiq M. Sait
ICMLA
2007
13 years 10 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...
EVOW
2007
Springer
14 years 3 months ago
Genetic Algorithms with Elitism-Based Immigrants for Changing Optimization Problems
Abstract. Addressing dynamic optimization problems has been a challenging task for the genetic algorithm community. Over the years, several approaches have been developed into gene...
Shengxiang Yang
SIGADA
2004
Springer
14 years 2 months ago
Comparative analysis of genetic algorithm implementations
Genetic Algorithms provide computational procedures that are modeled on natural genetic system mechanics, whereby a coded solution is “evolved” from a set of potential solutio...
Robert Soricone, Melvin Neville
PR
2000
103views more  PR 2000»
13 years 9 months ago
Genetic algorithm-based clustering technique
A genetic algorithm-based clustering technique, called GA-clustering, is proposed in this article. The searching capability of genetic algorithms is exploited in order to search f...
Ujjwal Maulik, Sanghamitra Bandyopadhyay