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EMO
2006
Springer
13 years 7 months ago
2006
Springer
Multi-objective metaheuristics have previously been applied to partial classification, where the objective is to produce simple, easy to understand rules that describe subsets of a...
GECCO
2006
Springer
13 years 9 months ago
2006
Springer
: Evolutionary multi-objective optimization (EMO) methodologies have been amply applied to find a representative set of Pareto-optimal solutions in the past decade and beyond. Alth...
EMO
2006
Springer
13 years 9 months ago
2006
Springer
The design of quality measures for approximations of the Pareto-optimal set is of high importance not only for the performance assessment, but also for the construction of multiobj...
EMO
2006
Springer
13 years 9 months ago
2006
Springer
Many-objective optimization refers to optimization problems with a number of objectives considerably larger than two or three. In this paper, a study on the performance of the Fast...
EMO
2006
Springer
13 years 9 months ago
2006
Springer
Abstract. Archives are used in Multi-Objective Evolutionary Algorithms to establish elitism. Depending on the optimization problem, an unconstrained archive may grow to an immense ...