174 search results - page 7 / 35 » Optimization of Scalarizing Functions Through Evolutionary M... |
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GECCO
2010
Springer
14 years 8 months ago
2010
Springer
Evolutionary multi-objective optimization deals with the task of computing a minimal set of search points according to a given set of objective functions. The task has been made e...
GECCO
2006
Springer
15 years 1 months ago
2006
Springer
The generic Multi-objective Evolutionary Algorithm (MOEA) aims to produce Pareto-front approximations with good convergence and diversity property. To achieve convergence, most mu...
118
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GECCO
2009
Springer
14 years 7 months ago
2009
Springer
Public data sharing is utilized in a number of businesses to facilitate the exchange of information. Privacy constraints are usually enforced to prevent unwanted inference of info...
100
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ICTAI
2009
IEEE
14 years 7 months ago
2009
IEEE
This paper describes a noise-aware dominance operator for evolutionary algorithms to solve the multiobjective optimization problems (MOPs) that contain noise in their objective fu...
TSMC
2010
14 years 4 months ago
2010
Abstract--This paper presents a dynamic predictiveoptimization framework of a nonlinear temporal process. Datamining (DM) and evolutionary strategy algorithms are integrated in the...