456 search results - page 43 / 92 » Comparison of Multiobjective Evolutionary Algorithms: Empiri... |
159
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SAMOS
2007
Springer
16 years 2 days ago
2007
Springer
—This paper presents a new methodology based on evolutionary multi-objective optimization (EMO) to synthesize multiple complex modules on programmable devices (FPGAs). It starts ...
160
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EMO
2006
Springer
15 years 9 months ago
2006
Springer
1 In most real world optimization problems several optimization goals have to be considered in parallel. For this reason, there has been a growing interest in Multi-Objective Optim...
168
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VMV
2001
15 years 7 months ago
2001
In this paper, we present a theoretical analysis of the error with three basic Monte Carlo radiosity algorithms, based on continuous collision shooting random walks, discrete coll...
141
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AEI
2005
15 years 5 months ago
2005
Evolutionary algorithms (EAs) are stochastic search methods that mimic the natural biological evolution and/or the social behavior of species. Such algorithms have been developed ...
175
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HAIS
2009
Springer
15 years 10 months ago
2009
Springer
Differential Evolution (DE) is a novel evolutionary approach capable of handling non-differentiable, non-linear and multi-modal objective functions. DE has been consistently ranked...