34170 search results - page 335 / 6834 » Optimization |
176
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FSTTCS
2006
Springer
15 years 8 months ago
2006
Springer
Abstract. Stochastic optimization is a leading approach to model optimization problems in which there is uncertainty in the input data, whether from measurement noise or an inabili...
118
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GECCO
2006
Springer
15 years 8 months ago
2006
Springer
This paper presents four rotatable multi-objective test problems that are designed for testing EMO (Evolutionary Multiobjective Optimization) algorithms on their ability in dealin...
164
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GECCO
2006
Springer
15 years 8 months ago
2006
Springer
Cooperative coevolution is often used to solve difficult optimization problems by means of problem decomposition. Its performance on this task is influenced by many design decisio...
144
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GECCO
2000
Springer
15 years 8 months ago
2000
Springer
Optimization of the control parameters of genetic algorithms is often a time consuming and tedious task. In this work we take the meta-level genetic algorithm approach to control ...
135
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GECCO
2000
Springer
15 years 8 months ago
2000
Springer
The integration of genetic algorithms (GAs) and tabu search is one of traditional problems in function optimization in the GA literature. However, most proposed methods have utili...