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» Optimal Power Flow Based on Hybrid Genetic Algorithm
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HM
2007
Springer
118views Optimization» more  HM 2007»
14 years 1 months ago
Evolutionary Clustering Search for Flowtime Minimization in Permutation Flow Shop
This paper deals with the Permutation Flow Shop scheduling problem with the objective of minimizing total flow time, and therefore reducing in-process inventory. A new hybrid meta...
Geraldo Ribeiro Filho, Marcelo Seido Nagano, Luiz ...
ICANNGA
2011
Springer
254views Algorithms» more  ICANNGA 2011»
12 years 7 months ago
Simulated Evolution (SimE) Based Embedded System Synthesis Algorithm for Electric Circuit Units (ECUs)
ECU (Electric Circuit Unit) is a type of embedded system that is used in automobiles to perform different functions. The synthesis process of ECU requires that the hardware should...
Umair F. Siddiqi, Yoichi Shiraishi, Mona Abo El Da...
GECCO
2004
Springer
103views Optimization» more  GECCO 2004»
14 years 25 days ago
Training Neural Networks with GA Hybrid Algorithms
Abstract. Training neural networks is a complex task of great importance in the supervised learning field of research. In this work we tackle this problem with five algorithms, a...
Enrique Alba, J. Francisco Chicano
GECCO
2007
Springer
179views Optimization» more  GECCO 2007»
14 years 1 months ago
Genetic algorithms for large join query optimization
Genetic algorithms (GAs) have long been used for large join query optimization (LJQO). Previous work takes all queries as based on one granularity to optimize GAs and compares the...
Hongbin Dong, Yiwen Liang
CEC
2007
IEEE
13 years 11 months ago
Development and validation of different hybridization strategies between GA and PSO
In this paper a new class of hybridization strategies between GA and PSO is presented and validated. The Genetical Swarm Optimization (GSO) approach is presented here with respect ...
A. Gandelli, F. Grimaccia, Marco Mussetta, Paola P...