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AAAI
1998
15 years 1 months ago
Optimal 2D Model Matching Using a Messy Genetic Algorithm
A Messy Genetic Algorithm is customized toflnd'optimal many-to-many matches for 2D line segment models. The Messy GA is a variant upon the Standard Genetic Algorithm in which...
J. Ross Beveridge
ICGA
1997
133views Optimization» more  ICGA 1997»
15 years 1 months ago
Messy Genetic Algorithms for Subset Feature Selection
Subset Feature Selection problems can have severalattributes which may make Messy Genetic Algorithms an appropriateoptimization method. First, competitive solutions may often use ...
L. Darrell Whitley, J. Ross Beveridge, Cesar Guerr...
ICNC
2009
Springer
15 years 7 months ago
Reducing Boarding Time: Synthesis of Improved Genetic Algorithms
—With the aim to minimize boarding time and devise procedures for boarding strategies, this paper develop the synthesis of Improved Genetic Algorithms and simulation. This paper ...
Kang Wang
GECCO
2004
Springer
15 years 6 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
92
Voted
GECCO
1999
Springer
100views Optimization» more  GECCO 1999»
15 years 4 months 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...