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GECCO
2006
Springer
146views Optimization» more  GECCO 2006»
15 years 1 months ago
The dispersion metric and the CMA evolution strategy
An algorithm independent metric is introduced that measures the dispersion of a uniform random sample drawn from the top ranked percentiles of the search space. A low dispersion f...
Monte Lunacek, Darrell Whitley
GECCO
2006
Springer
164views Optimization» more  GECCO 2006»
15 years 1 months ago
A fast hybrid genetic algorithm for the quadratic assignment problem
Genetic algorithms (GAs) have recently become very popular by solving combinatorial optimization problems. In this paper, we propose an extension of the hybrid genetic algorithm f...
Alfonsas Misevicius
ISN
1995
Springer
109views Communications» more  ISN 1995»
15 years 1 months ago
Issues in the Integration of IN and TMN
Over recent years, the need to introduce rapidly new telecommunications services has led to the development of the Intelligent Network (IN). These services and the increasingly com...
George Pavlou, David Griffin
GECCO
2010
Springer
249views Optimization» more  GECCO 2010»
14 years 12 months ago
Towards improved dispatching rules for complex shop floor scenarios: a genetic programming approach
Developing dispatching rules for manufacturing systems is a tedious process, which is time- and cost-consuming. Since there is no good general rule for different scenarios and ob...
Torsten Hildebrandt, Jens Heger, Bernd Scholz-Reit...
GAMEON
2008
14 years 11 months ago
Generating Emergent Team Strategies in Football Simulation Videogames via Genetic Algorithms
This paper defends the use of evolutionary algorithms to generate (and evolve) strategies that manage the behavior of a team in simulated football videogames. The chosen framework...
Antonio J. Fernández, Carlos Cotta, Rafael ...