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» Evolutionary multiobjective optimization
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GECCO
2005
Springer
139views Optimization» more  GECCO 2005»
15 years 10 months ago
Alternative implementations of the Griewangk function
The well-known Griewangk function, used for evaluation of evolutionary algorithms, becomes easier as the number of dimensions grows. This paper suggests three alternative implemen...
Artem Sokolov, L. Darrell Whitley, Monte Lunacek
GECCO
2004
Springer
137views Optimization» more  GECCO 2004»
15 years 10 months 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 ...
GECCO
2004
Springer
148views Optimization» more  GECCO 2004»
15 years 10 months ago
Evolving Local Search Heuristics for SAT Using Genetic Programming
Satisfiability testing (SAT) is a very active area of research today, with numerous real-world applications. We describe CLASS2.0, a genetic programming system for semi-automatica...
Alex S. Fukunaga
GECCO
2004
Springer
134views Optimization» more  GECCO 2004»
15 years 10 months ago
A Descriptive Encoding Language for Evolving Modular Neural Networks
Evolutionary algorithms are a promising approach for the automated design of artificial neural networks, but they require a compact and efficient genetic encoding scheme to repres...
Jae-Yoon Jung, James A. Reggia
DSD
2003
IEEE
100views Hardware» more  DSD 2003»
15 years 10 months ago
Fast Heuristics for the Edge Coloring of Large Graphs
Heuristic algorithms for coloring the edges of large undirected single-edge graphs with (or very close to) the minimal number of colors are presented. Compared to simulated anneal...
Mario Hilgemeier, Nicole Drechsler, Rolf Drechsler