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» The Spatially-Dispersed Genetic Algorithm
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GECCO
2000
Springer
15 years 8 months ago
Sampling Bias and Search Space Boundary Extension in Real Coded Genetic Algorithms
In Real coded genetic algorithms, some crossover operators do not work well on functions which have their optimum at the corner of the search space. To cope with this problem, we ...
Shigeyoshi Tsutsui
FLAIRS
2006
15 years 5 months ago
Fuzzy Model Optimization Using Genetic Algorithm for Aircraft Engine Diagnosis
An accurate and up-to-date diagnostic model is critical for economic aircraft engine operation. However, for many commercial airline fleets, monitoring and diagnosing engine fault...
LiJie Yu, Daniel J. Cleary, Mark D. Osborn, Vrinda...
CATA
2003
15 years 5 months ago
A Genetic Algorithm Approach to Static Task Scheduling in a Reconfigurable Hardware Environment
This paper presents a basic framework for applying static task scheduling techniques to arbitrarily-structured task systems whose targeted execution environment is comprised of fi...
Sin Ming Loo, B. Earl Wells, J. D. Winningham
FOGA
1998
15 years 5 months ago
Understanding Interactions among Genetic Algorithm Parameters
Genetic algorithms (GAs) are multi-dimensional and stochastic search methods, involving complex interactions among their parameters. For last two decades, researchers have been tr...
Kalyanmoy Deb, Samir Agrawal
BMCBI
2010
151views more  BMCBI 2010»
15 years 4 months ago
Classification of G-protein coupled receptors based on support vector machine with maximum relevance minimum redundancy and gene
Background: Because a priori knowledge about function of G protein-coupled receptors (GPCRs) can provide useful information to pharmaceutical research, the determination of their ...
Zhanchao Li, Xuan Zhou, Zong Dai, Xiaoyong Zou