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» Hybrid Optimizations: Which Optimization Algorithm to Use
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142
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CEC
2009
IEEE
15 years 10 months ago
The multiobjective evolutionary algorithm based on determined weight and sub-regional search
— By dividing the multiobjective optimization of the decision space into several small regions, this paper proposes multi-objective optimization algorithm based on sub-regional s...
Hai-lin Liu, Xueqiang Li
EMO
2005
Springer
120views Optimization» more  EMO 2005»
15 years 9 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
114
Voted
CP
2009
Springer
15 years 10 months ago
Exploiting Problem Decomposition in Multi-objective Constraint Optimization
Multi-objective optimization is concerned with problems involving multiple measures of performance which should be optimized simultaneously. In this paper, we extend AND/OR Branch-...
Radu Marinescu
DAC
2006
ACM
16 years 4 months ago
Systematic temperature sensor allocation and placement for microprocessors
Modern high performance processors employ advanced techniques for thermal management, which rely on accurate readings of on-die thermal sensors. As the importance of thermal effec...
Rajarshi Mukherjee, Seda Ogrenci Memik
GECCO
2008
Springer
120views Optimization» more  GECCO 2008»
15 years 4 months ago
A robust evolutionary framework for multi-objective optimization
Evolutionary multi-objective optimization (EMO) methodologies, suggested in the beginning of Nineties, focussed on the task of finding a set of well-converged and well-distribute...
Kalyanmoy Deb