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» On Set-Based Multiobjective Optimization
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GECCO
2008
Springer
131views Optimization» more  GECCO 2008»
13 years 9 months ago
Testing parallelization paradigms for MOEAs
In this paper, we report on our investigation of factors affecting the performance of various parallelization paradigms for multiobjective evolutionary algorithms. Different paral...
Sadeesha Gamhewa, Philip Hingston
EMO
2005
Springer
107views Optimization» more  EMO 2005»
14 years 1 months ago
Multiobjective Water Pinch Analysis of the Cuernavaca City Water Distribution Network
Water systems often allow efficient water uses via water reuse and/or recirculation. Defining the network layout connecting water-using processes is a complex problem which involv...
Carlos E. Mariano-Romero, Víctor Alcocer-Ya...
EMO
2001
Springer
109views Optimization» more  EMO 2001»
14 years 10 days ago
Specification of Genetic Search Directions in Cellular Multi-objective Genetic Algorithms
When we try to implement a multi-objective genetic algorithm (MOGA) with variable weights for finding a set of Pareto optimal solutions, one difficulty lies in determining appropri...
Tadahiko Murata, Hisao Ishibuchi, Mitsuo Gen
EMO
2006
Springer
172views Optimization» more  EMO 2006»
13 years 11 months ago
Steady-State Selection and Efficient Covariance Matrix Update in the Multi-objective CMA-ES
The multi-objective covariance matrix adaptation evolution strategy (MO-CMA-ES) combines a mutation operator that adapts its search distribution to the underlying optimization prob...
Christian Igel, Thorsten Suttorp, Nikolaus Hansen
EMO
2005
Springer
77views Optimization» more  EMO 2005»
14 years 1 months ago
Multi-objective Genetic Algorithms to Create Ensemble of Classifiers
Luiz E. Soares de Oliveira, Marisa E. Morita, Robe...