190 search results - page 16 / 38 » Combining Convergence and Diversity in Evolutionary Multiobj... |
GECCO
2004
Springer
15 years 7 months ago
2004
Springer
Before Multiobjective EvolutionaryAlgorithms (MOEAs) can be used as a widespread tool for solving arbitrary real world problems there are some salient issues which require further ...
112
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GECCO
2006
Springer
15 years 5 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
15 years 5 months ago
2006
Springer
This paper presents results of extensive computational experiments in which evolutionary multiobjective algorithms were used to find Pareto-optimal solutions to a complex structura...
116
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CEC
2007
IEEE
15 years 8 months ago
2007
IEEE
Abstract— For the past decade or so, evolutionary multiobjective optimization (EMO) methodologies have earned wide popularity for solving complex practical optimization problems,...
122
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GECCO
2005
Springer
15 years 7 months ago
2005
Springer
Various multi–objective evolutionary algorithms (MOEAs) have obtained promising results on various numerical multi– objective optimization problems. The combination with gradi...