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» On Set-Based Multiobjective Optimization
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JUCS
2006
104views more  JUCS 2006»
13 years 7 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
13 years 6 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...
GECCO
2007
Springer
156views Optimization» more  GECCO 2007»
14 years 2 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
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
14 years 2 months ago
The effect of user interaction mechanisms in multi-objective IGA
In this paper four mechanisms, fine and coarse grained fitness rating, linguistic evaluation and active user intervention are compared for use in the multi-objective IGA. The inte...
Alexandra Melike Brintrup, Hideyuki Takagi
GECCO
2007
Springer
159views Optimization» more  GECCO 2007»
13 years 11 months ago
Uniform sampling of local pareto-optimal solution curves by pareto path following and its applications in multi-objective GA
Although multi-objective GA (MOGA) is an efficient multiobjective optimization (MOO) method, it has some limitations that need to be tackled, which include unguaranteed uniformity...
Ken Harada, Jun Sakuma, Shigenobu Kobayashi, Isao ...