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GECCO
2006
Springer
178views Optimization» more  GECCO 2006»
13 years 11 months ago
Adaptively choosing niching parameters in a PSO
Niching techniques play an important role in evolutionary algorithms. Existing niching methods often require userspecified parameters, limiting their usefulness. This paper propos...
Stefan Bird, Xiaodong Li
EVOW
2001
Springer
14 years 12 days ago
Automated Solution of a Highly Constrained School Timetabling Problem - Preliminary Results
This work introduces a highly constrained school timetabling problem which was modeled from the requirements of a German high school. The concept for solving the problem uses a hyb...
Marc Bufé, Tim Fischer, Holger Gubbels, Cla...
GECCO
2004
Springer
148views Optimization» more  GECCO 2004»
14 years 1 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
EUROGP
2006
Springer
138views Optimization» more  EUROGP 2006»
13 years 11 months ago
Evolving Crossover Operators for Function Optimization
Abstract. A new model for evolving crossover operators for evolutionary function optimization is proposed in this paper. The model is a hybrid technique that combines a Genetic Pro...
Laura Diosan, Mihai Oltean
MICAI
2004
Springer
14 years 1 months ago
Simple Feasibility Rules and Differential Evolution for Constrained Optimization
In this paper, we propose a differential evolution algorithm to solve constrained optimization problems. Our approach uses three simple selection criteria based on feasibility to g...
Efrén Mezura-Montes, Carlos A. Coello Coell...