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» On the practical genetic algorithms
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GECCO
2005
Springer
141views Optimization» more  GECCO 2005»
15 years 3 months ago
Behavior of finite population variable length genetic algorithms under random selection
In this work we provide empirical evidence that shows how a variable-length genetic algorithm (GA) can naturally evolve shorter average size populations. This reduction in chromos...
Hal Stringer, Annie S. Wu
GECCO
2004
Springer
124views Optimization» more  GECCO 2004»
15 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
ICNSC
2008
IEEE
15 years 4 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
ICC
2007
IEEE
166views Communications» more  ICC 2007»
15 years 4 months ago
Dynamic Optimization of Secure Mobile Sensor Networks: A Genetic Algorithm
— We propose a reduced-complexity genetic algorithm for secure and dynamic deployment of resource constrained multi-hop mobile sensor networks. Mobility and security are relative...
Rahul Khanna, Huaping Liu, Hsiao-Hwa Chen
GECCO
2004
Springer
143views Optimization» more  GECCO 2004»
15 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...