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AMC
2007
129views more  AMC 2007»
13 years 10 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...
WSC
2008
14 years 3 days ago
Simulation optimization for industrial scheduling using hybrid genetic representation
Simulation modeling has the capability to represent complex real-world systems in details and therefore it is suitable to develop simulation models for generating detailed operati...
Marcus Andersson, Amos Ng, Henrik Grimm
CEC
2008
IEEE
14 years 4 months ago
DEACO: Hybrid Ant Colony Optimization with Differential Evolution
—Ant Colony Optimization (ACO) algorithm is a novel meta-heuristic algorithm for the approximate solution of combinatorial optimization problems that has been inspired by the for...
Xiangyin Zhang, Haibin Duan, Jiqiang Jin
GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
13 years 11 months ago
A hybrid method for tuning neural network for time series forecasting
This paper presents an study about a new Hybrid method GRASPES - for time series prediction, inspired in F. Takens theorem and based on a multi-start metaheuristic for combinatori...
Aranildo Rodrigues Lima Junior, Tiago Alessandro E...
FGCS
2007
106views more  FGCS 2007»
13 years 9 months ago
A parallel hybrid genetic algorithm for protein structure prediction on the computational grid
Solving the structure prediction problem for complex proteins is difficult and computationally expensive. In this paper, we propose a bicriterion parallel hybrid genetic algorith...
Alexandru-Adrian Tantar, Nouredine Melab, El-Ghaza...