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Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach
Article
Article
Eckart Zitzler; Lothar Thiele · IEEE Transactions on Evolutionary Computation · 1999
Evolutionary algorithms (EAs) are often well-suited for optimization problems involving several, often conflicting objectives. Since 1985, various evolutionary approaches to multiobjective optimization have been develope...
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No free lunch theorems for optimization
Article
Article
David H. Wolpert; William G. Macready · IEEE Transactions on Evolutionary Computation · 1997
A framework is developed to explore the connection between effective optimization algorithms and the problems they are solving. A number of "no free lunch" (NFL) theorems are presented which establish that for any algori...
Idioma English
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