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» A parameter-less genetic algorithm
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142
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CEC
2008
IEEE
15 years 10 months ago
Increasing rule extraction accuracy by post-processing GP trees
—Genetic programming (GP), is a very general and efficient technique, often capable of outperforming more specialized techniques on a variety of tasks. In this paper, we suggest ...
Ulf Johansson, Rikard König, Tuve Löfstr...
134
Voted
GECCO
2007
Springer
210views Optimization» more  GECCO 2007»
15 years 10 months ago
An application of EDA and GA to dynamic pricing
E-commerce has transformed the way firms develop their pricing strategies, producing shift away from fixed pricing to dynamic pricing. In this paper, we use two different Estim...
Siddhartha Shakya, Fernando Oliveira, Gilbert Owus...
GECCO
2005
Springer
203views Optimization» more  GECCO 2005»
15 years 9 months ago
Ant colony optimization for power plant maintenance scheduling optimization
In order to maintain a reliable and economic electric power supply, the maintenance of power plants is becoming increasingly important. In this paper, a formulation that enables a...
Wai-Kuan Foong, Holger R. Maier, Angus R. Simpson
GECCO
2005
Springer
144views Optimization» more  GECCO 2005»
15 years 9 months ago
Multiobjective hBOA, clustering, and scalability
This paper describes a scalable algorithm for solving multiobjective decomposable problems by combining the hierarchical Bayesian optimization algorithm (hBOA) with the nondominat...
Martin Pelikan, Kumara Sastry, David E. Goldberg
GECCO
2005
Springer
129views Optimization» more  GECCO 2005»
15 years 9 months ago
Real-coded crossover as a role of kernel density estimation
This paper presents a kernel density estimation method by means of real-coded crossovers. Estimation of density algorithms (EDAs) are evolutionary optimization techniques, which d...
Jun Sakuma, Shigenobu Kobayashi