669 search results - page 80 / 134 » An evolutionary method for complex-process optimization |
103
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GECCO
2010
Springer
15 years 4 months ago
2010
Springer
Multiobjective optimization in general aims at learning about the problem at hand. Usually the focus lies on objective space properties such as the front shape and the distributio...
GECCO
2010
Springer
15 years 2 months ago
2010
Springer
Several population-based methods (with origins in the world of evolutionary strategies and estimation-of-distribution algorithms) for black-box optimization in continuous domains ...
87
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GECCO
2007
Springer
15 years 6 months ago
2007
Springer
Crucial to the more widespread use of evolutionary computation techniques is the ability to scale up to handle complex problems. In the field of genetic programming, a number of d...
100
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EMO
2005
Springer
15 years 6 months ago
2005
Springer
Nearly all Multi-Objective Evolutionary Algorithms (MOEA) rely on random generation of initial population. In large and complex search spaces, this random method often leads to an ...
91
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GECCO
2004
Springer
15 years 6 months ago
2004
Springer
This study examines the utility of grammatical ephemeral random constants, and conducts an analysis of the preferences of evolutionary search when a number of different grammar ba...