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GECCO
2000
Springer
121views Optimization» more  GECCO 2000»
15 years 1 months ago
Metaphor for learning: an evolutionary algorithm
The organizational algorithm is examined as a computational approach to representing interpersonal learning. The structure of the algorithm is introduced and described in context ...
Jody Lee Louse, Alexander Kain, James Hines
GECCO
2005
Springer
169views Optimization» more  GECCO 2005»
15 years 3 months ago
Inexact pattern matching using genetic algorithm
A Genetic Algorithm for graphical pattern matching based on angle matching had been proposed. It has proven quite effective in matching simple patterns. However, the algorithm nee...
Surapong Auwatanamongkol
GECCO
2005
Springer
15 years 3 months ago
On the practical genetic algorithms
This paper offers practical design-guidelines for developing efficient genetic algorithms (GAs) to successfully solve realworld problems. As an important design component, a prac...
Chang Wook Ahn, Sanghoun Oh, Rudrapatna S. Ramakri...
GECCO
2004
Springer
106views Optimization» more  GECCO 2004»
15 years 3 months ago
Mutation Rates in the Context of Hybrid Genetic Algorithms
Traditionally, the mutation rates of genetic algorithms are fixed or decrease over the generations. Although it seems to be reasonable for classical genetic algorithms, it may not...
Seung-Hee Bae, Byung Ro Moon
GECCO
2004
Springer
15 years 3 months ago
A Caching Genetic Algorithm for Spectral Breakpoint Matching
Abstract. Two methods were evaluated for performing spectral breakpoint matching: a multi-level pruned exhaustive search and a genetic algorithm. The GA found matches about as good...
Jonathan Mohr, Xiaobo Li