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PPSN
2004
Springer
15 years 6 months ago
Dominance Based Crossover Operator for Evolutionary Multi-objective Algorithms
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...
Olga Rudenko, Marc Schoenauer
CEC
2009
IEEE
15 years 6 months ago
Automatic clustering with multi-objective Differential Evolution algorithms
—This paper applies the Differential Evolution (DE) algorithm to the task of automatic fuzzy clustering in a Multi-objective Optimization (MO) framework. It compares the performa...
Kaushik Suresh, Debarati Kundu, Sayan Ghosh, Swaga...
JUCS
2006
104views more  JUCS 2006»
15 years 1 months ago
Multi-Objective Evolutionary Algorithms and Pattern Search Methods for Circuit Design Problems
: The paper concerns the design of evolutionary algorithms and pattern search methods on two circuit design problems: the multi-objective optimization of an Operational Transconduc...
Tonio Biondi, Angelo Ciccazzo, Vincenzo Cutello, S...
WIOPT
2010
IEEE
14 years 12 months ago
A multiobjective performance evaluation framework for routing in wireless ad hoc networks
—Wireless ad hoc networks are seldom characterized by one single performance metric, yet the current literature lacks a flexible framework to assist in characterizing the design...
Katia Jaffrès-Runser, Mary R. Schurgot, Cri...
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GECCO
2007
Springer
156views Optimization» more  GECCO 2007»
15 years 7 months ago
Techniques for highly multiobjective optimisation: some nondominated points are better than others
The research area of evolutionary multiobjective optimization (EMO) is reaching better understandings of the properties and capabilities of EMO algorithms, and accumulating much e...
David W. Corne, Joshua D. Knowles