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» A parameter-less genetic algorithm
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EUROGP
2008
Springer
137views Optimization» more  EUROGP 2008»
15 years 4 months ago
A Comparison of Cartesian Genetic Programming and Linear Genetic Programming
Two prominent genetic programming approaches are the graph-based Cartesian Genetic Programming (CGP) and Linear Genetic Programming (LGP). Recently, a formal algorithm for construc...
Garnett Carl Wilson, Wolfgang Banzhaf
111
Voted
GECCO
2005
Springer
169views Optimization» more  GECCO 2005»
15 years 8 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 8 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...
85
Voted
GECCO
2008
Springer
118views Optimization» more  GECCO 2008»
15 years 3 months ago
Deriving evaluation metrics for applicability of genetic algorithms to optimization problems
This paper aims to identify the missing links from theory of Genetic Algorithms (GAs) to application of GAs. Categories and Subject Descriptors: J.0 [Computer Applications]: Gener...
Hsinyi Jiang, Carl K. Chang
101
Voted
IWANN
2001
Springer
15 years 7 months ago
A New Approach to Evolutionary Computation: Segregative Genetic Algorithms (SEGA)
This paper looks upon the standard genetic algorithm as an artificial self-organizing process. With the purpose to provide concepts that make the algorithm more open for scalabili...
Michael Affenzeller