38 search results - page 1 / 8 » Dominance Based Crossover Operator for Evolutionary Multi-ob... |
PPSN
2004
Springer
13 years 9 months ago
2004
Springer
In spite of the recent quick growth of the Evolutionary Multi-objective Optimization (EMO) research field, there has been few trials to adapt the general variation operators to t...
EMO
2006
Springer
13 years 8 months ago
2006
Springer
Multi-Objective Evolutionary Algorithms (MOEA) have been succesfully applied to solve control problems. However, many improvements are still to be accomplished. In this paper a new...
SEAL
2010
Springer
13 years 2 months ago
2010
Springer
Abstract. Mainstream surrogate approaches for multi-objective problems build one approximation for each objective. Mono-surrogate approaches instead aim at characterizing the Paret...
GECCO
2010
Springer
13 years 9 months ago
2010
Springer
The original mechanism by which evolutionary algorithms were to solve problems was to allow for the gradual discovery of sub-solutions to sub-problems, and the automated combinati...
PATAT
2004
Springer
13 years 9 months ago
2004
Springer
A hybrid Multi-Objective Evolutionary Algorithm is used to tackle the uncapacitated exam proximity problem. In this hybridization, local search operators are used instead of the tr...