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» A Mean-Variance Optimization algorithm
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CEC
2008
IEEE
16 years 2 months ago
New evaluation criteria for the convergence of continuous evolutionary algorithms
—The first hitting time (FHT) plays an important role in convergence evaluation for evolutionary algorithms. However, the current criteria of the FHT are mostly under a hypothesi...
Ying Lin, Jian Huang, Jun Zhang
GECCO
2007
Springer
196views Optimization» more  GECCO 2007»
16 years 1 months ago
An estimation of distribution algorithm with guided mutation for a complex flow shop scheduling problem
An Estimation of Distribution Algorithm (EDA) is proposed to approach the Hybrid Flow Shop with Sequence Dependent Setup Times and Uniform Machines in parallel (HFSSDST-UM) proble...
Abdellah Salhi, José Antonio Vázquez...
IPPS
2006
IEEE
16 years 1 months ago
A combined genetic-neural algorithm for mobility management
This work presents a new approach to solve the location management problem by using the location areas approach. A combination of a genetic algorithm and the Hopfield neural netwo...
Javid Taheri, Albert Y. Zomaya
ASPDAC
2006
ACM
288views Hardware» more  ASPDAC 2006»
16 years 1 months ago
Algorithms and DSP implementation of H.264/AVC
Abstract - This survey paper intends to provide a comprehensive coverage of the techniques that are pertinent to the processor-based implementation of H.264/AVC video codec, partic...
Hung-Chih Lin, Yu-Jen Wang, Kai-Ting Cheng, Shang-...
CEC
2005
IEEE
16 years 1 months ago
Theoretical comparisons of search dynamics of genetic algorithms and evolution strategies
Genetic algorithms (GAs) and evolution strategies (ESs) are two widely used evolutionary algorithms. The main differences between GAs and ESs lie in their representations and varia...
Tatsuya Okabe, Yaochu Jin, Bernhard Sendhoff