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» Initial Population for Genetic Algorithms: A Metric Approach
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CSB
2003
IEEE
14 years 23 days ago
Haplotype Motifs: An Algorithmic Approach to Locating Evolutionarily Conserved Patterns in Haploid Sequences
The promise of plentiful data on common human genetic variations has given hope that we will be able to uncover genetic factors behind common diseases that have proven difficult ...
Russell Schwartz
GECCO
2008
Springer
186views Optimization» more  GECCO 2008»
13 years 8 months ago
A pareto following variation operator for fast-converging multiobjective evolutionary algorithms
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
A. K. M. Khaled Ahsan Talukder, Michael Kirley, Ra...
GECCO
2004
Springer
109views Optimization» more  GECCO 2004»
14 years 26 days ago
Development of a Genetic Algorithm for Optimization of Nanoalloys
A genetic algorithm has been developed in order to find the global minimum of platinum-palladium nanoalloy clusters. The effect of biasing the initial population and predating sp...
Lesley D. Lloyd, Roy L. Johnston, Said Salhi
GECCO
2005
Springer
14 years 1 months ago
New topologies for genetic search space
We propose three distance measures for genetic search space. One is a distance measure in the population space that is useful for understanding the working mechanism of genetic al...
Yong-Hyuk Kim, Byung Ro Moon
GECCO
2004
Springer
137views Optimization» more  GECCO 2004»
14 years 26 days ago
Modeling Coevolutionary Genetic Algorithms on Two-Bit Landscapes: Random Partnering
Abstract. A model of coevolutioinary genetic algorithms (COGA) consisting of two populations coevolving on two-bit landscapes is investigated in terms of the effects of random par...
Ming Chang, Kazuhiro Ohkura, Kanji Ueda, Masaharu ...