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» On the practical genetic algorithms
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GECCO
2004
Springer
14 years 1 months ago
Introducing Subchromosome Representations to the Linkage Learning Genetic Algorithm
This paper introduces subchromosome representations to the linkage learning genetic algorithm (LLGA). The subchromosome representation is utilized for effectively lowering the num...
Ying-Ping Chen, David E. Goldberg
GECCO
1999
Springer
100views Optimization» more  GECCO 1999»
14 years 23 days ago
Plasma X-ray Spectra Analysis Using Genetic Algorithms
X-ray spectroscopic analysis is a powerful tool for plasma diagnostics. We use genetic algorithms to automatically analyze experimental X-ray line spectra and discuss a particular...
Igor E. Golovkin, Roberto C. Mancini, Sushil J. Lo...
NICSO
2010
Springer
14 years 14 days ago
Accelerated Genetic Algorithms with Markov Chains
t] Based on the mutation matrix formalism and past statistics of genetic algorithm, a Markov Chain transition probability matrix is introduced to provide a guided search for comple...
Guan Wang, Chen Chen, Kwok Yip Szeto
ICNC
2005
Springer
14 years 2 months ago
Parallel Genetic Algorithms on Programmable Graphics Hardware
Abstract. Parallel genetic algorithms are usually implemented on parallel machines or distributed systems. This paper describes how finegrained parallel genetic algorithms can be ...
Qizhi Yu, Chongcheng Chen, Zhigeng Pan
ASPDAC
1999
ACM
157views Hardware» more  ASPDAC 1999»
14 years 25 days ago
A Genetic Algorithm based Approach for Multi-Objective Data-Flow Graph Optimization
: This paper presents a genetic algorithm based approach for algebraic optimization of behavioral system specifications. We introduce a chromosomal representation of data-flow gr...
Birger Landwehr