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» Evolutionary multiobjective optimization
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2004
Springer
15 years 6 months ago
Extracting Stellar Population Parameters of Galaxies from Photometric Data Using Evolution Strategies and Locally Weighted Linea
There is now a huge amount of high quality photometric data available in the literature whose analysis is bound to play a fundamental role in studies of the formation and evolution...
Luis Alvarez, Olac Fuentes, Roberto Terlevich
GECCO
2003
Springer
15 years 6 months ago
Pruning Neural Networks with Distribution Estimation Algorithms
Abstract. This paper describes the application of four evolutionary algorithms to the pruning of neural networks used in classification problems. Besides of a simple genetic algor...
Erick Cantú-Paz
GECCO
2010
Springer
200views Optimization» more  GECCO 2010»
15 years 6 months ago
Multivariate multi-model approach for globally multimodal problems
This paper proposes an estimation of distribution algorithm (EDA) aiming at addressing globally multimodal problems, i.e., problems that present several global optima. It can be r...
Chung-Yao Chuang, Wen-Lian Hsu
GECCO
2010
Springer
150views Optimization» more  GECCO 2010»
15 years 6 months ago
Object-level recombination of commodity applications
This paper presents ObjRecombGA, a genetic algorithm framework for recombining related programs at the object file level. A genetic algorithm guides the selection of object file...
Blair Foster, Anil Somayaji
GECCO
2010
Springer
129views Optimization» more  GECCO 2010»
15 years 6 months ago
A probabilistic functional crossover operator for genetic programming
The original mechanism by which evolutionary algorithms were to solve problems was to allow for the gradual discovery of sub-solutions to sub-problems, and the automated combinati...
Josh C. Bongard