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PREMI
2005
Springer
15 years 3 months ago
I-EMO: An Interactive Evolutionary Multi-objective Optimization Tool
With the advent of efficient techniques for multi-objective evolutionary optimization (EMO), real-world search and optimization problems are being increasingly solved for mulitple ...
Kalyanmoy Deb, Shamik Chaudhuri
GECCO
2009
Springer
103views Optimization» more  GECCO 2009»
15 years 2 months ago
Using performance fronts for parameter setting of stochastic metaheuristics
In this work, we explore the idea that parameter setting of stochastic metaheuristics should be considered as a multiobjective problem. The so-called “performance fronts” pres...
Johann Dréo
EMO
2006
Springer
144views Optimization» more  EMO 2006»
15 years 1 months ago
Evolutionary Multiobjective Optimization of Steel Structural Systems in Tall Buildings
This paper presents results of extensive computational experiments in which evolutionary multiobjective algorithms were used to find Pareto-optimal solutions to a complex structura...
Rafal Kicinger, Shigeru Obayashi, Tomasz Arciszews...
EMO
2005
Springer
120views Optimization» more  EMO 2005»
15 years 3 months ago
Multiobjective Optimization on a Budget of 250 Evaluations
Abstract. In engineering and other ‘real-world’ applications, multiobjective optimization problems must frequently be tackled on a tight evaluation budget — tens or hundreds ...
Joshua D. Knowles, Evan J. Hughes
AMC
2007
129views more  AMC 2007»
14 years 9 months ago
Multi-objective task allocation in distributed computing systems by hybrid particle swarm optimization
In a distributed computing system (DCS), we need to allocate a number of modules to different processors for execution. It is desired to maximize the processor synergism in order...
Peng-Yeng Yin, Shiuh-Sheng Yu, Pei-Pei Wang, Yi-Te...