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» A multi-objective genetic algorithm for robust design optimi...
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KES
1998
Springer
15 years 7 months ago
Properties of robust solution searching in multi-dimensional space with genetic algorithms
-A large number of studies on Genetic Algorithms (GAs) emphasize finding a globally optimal solution. Some other investigations have also been made for detecting multiple solutions...
Shigeyoshi Tsutsui, Lakhmi C. Jain
93
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GECCO
2004
Springer
15 years 8 months ago
A Systematic Study of Genetic Algorithms with Genotype Editing
Abstract. This paper continues our systematic study of an RNAediting computational model of Genetic Algorithms (GA). This model is constructed based on several genetic editing char...
Chien-Feng Huang, Luis Mateus Rocha
138
Voted
ICTAI
1997
IEEE
15 years 7 months ago
Toward the Optimization of a Class of Black Box Optimization Algorithms
Many black box optimization algorithms have sufcient exibility to allow them to adapt to the varying circumstances they encounter. These capabilities are of two primary sorts: 1) ...
Gang Wang, Erik D. Goodman, William F. Punch III
76
Voted
GECCO
2006
Springer
108views Optimization» more  GECCO 2006»
15 years 6 months ago
A genetic algorithm with a variable-length genotype and embryogeny for microstructured optical fibre design
Steven Manos, Leon Poladian, Peter J. Bentley, Mar...
119
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AAAI
1998
15 years 4 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