454 search results - page 33 / 91 » On improving approximate solutions by evolutionary algorithm... |
ISICA
2007
Springer
15 years 7 months ago
2007
Springer
In this paper the authors point out that the Pareto Optimality is unfair, unreasonable and imperfect for Many-objective Optimization Problems (MOPs) underlying the hypothesis that ...
131
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CEC
2007
IEEE
15 years 1 months ago
2007
IEEE
— Memetic algorithms (MAs) combine the global exploration abilities of evolutionary algorithms with a local search to further improve the solutions. While a neighborhood can be e...
COR
2010
15 years 1 months ago
2010
In this paper we present a new evolutionary method for complex-process optimization. It is partially based on principles of the scatter search methodology, but it makes use of inn...
PPSN
2004
Springer
15 years 6 months ago
2004
Springer
Abstract. Many real-world optimization problems have several, usually conflicting objectives. Evolutionary multi-objective optimization usually solves this predicament by searchin...
116
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GECCO
2010
Springer
15 years 5 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...