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Identification of strategy parameters for particle swarm optimizer through Taguchi method

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Identification of strategy parameters for particle swarm optimizer through Taguchi method

Identification of strategy parameters for particle swarm optimizer through Taguchi method

作者/编辑:Author:… http://www.unjs.com 自然科学论文
  [Identification of strategy parameters for particle swarm optimizer through Taguchi method]Abstract:Particle swarm optimization (PSO), like other evolutionary algorithms is a population-based stochastic algorithm inspired from the metaphor of social interaction in birds, insects, wasps, etc. It has been used for finding promising solutions in complex search space through the interaction of particles in a swarm. It is a well recognized fact that the performance of evolutionary algorithms to a great extent depends on the choice of appropriate strategy/operating parameters like population size,crossover rate, mutation rate, crossover operator, etc. Generally, these parameters are selected through hit and trial process, which is very unsystematic and requires rigorous experimentation. This paper proposes a systematic based on Taguchi method reasoning scheme for rapidly identifying the strategy parameters for the PSO algorithm. The Taguchi method is a robust design approach using fractional factorial design to study a large number of parameters with small number of experiments. Computer simulations have been performed on two benchmark functions-Rosenbrock function and Griewank function-to validate the approach. 作者: Author: KHOSLA Arun[1]  KUMAR Shakti[2]  AGGARWAL K.K.[3] 作者单位: Department of Electronics and Communication Engineering, National Institute of Technology, Jalandhar 144011, IndiaCentre for Advanced Technology, Haryana Engineering College, Jagadhari 135003, IndiaVice Chancellor, GGS Indraprastha University, Delhi 110006, India 期 刊: 浙江大学学报A(英文版)   ISTICEISCI Journal: JOURNAL OF ZHEJIANG UNIVERSITY SCIENCE A 年,卷(期): 2006, 7(12) 分类号: N941 TP301.6 Keywords: Strategy parameters    Particle swarm optimization (PSO)    Taguchi method    ANOVA    机标分类号: TS9 TN3 机标关键词: Taguchi method    evolutionary algorithms    fractional factorial design    robust design    search space 基金项目: Identification of strategy parameters for particle swarm optimizer through Taguchi method[期刊论文]  浙江大学学报A(英文版) --2006, 7(12)Particle swarm optimization (PSO), like other evolutionary algorithms is a population-based stochastic algorithm inspired from the metaphor of social interaction in birds, insects, wasps, etc. It has b...
Identification of strategy parameters for particle swarm optimizer through Taguchi method2
  第2篇 Toxicological effects and risk assessment of lanthanum ions on leave
  〖预览〗Abstract:Viciafaba L.seedlings were hydroponically cultivated in 0-12 mg/L of extraneous lanthanum (La) for 15 d to investigate ecotoxicological effects and risk assessment of rare earth elements (REEs).The results showed that reactive oxygen species (ROS) production such as superoxide radical (O2-) and hydrogen peroxide (H2O2) were overproduced at higher concentrations of La,resulting in oxidatively modified proteins and shoot growth retardation.While,superoxide dismutase (SOD),catalase (CAT),ascorbate peroxidase (APX) and guaiacol peroxidase (GPX) isoenzymes w……【全文阅读:Toxicological effects and risk assessment of lanthanum ions on leave
Identification of strategy parameters for particle swarm optimizer through Taguchi method3
  第3篇 Static analysis of synchronism deployable antenna
  〖预览〗Abstract:A 3D synchronism deployable antenna was designed, analyzed, and manufactured by our research group. This antenna consists oftetrahedral elements from central element. Because there are springs at the ends of some of the rods, spider joints are applied. For analysis purpose, the structure is simplified and modelled by using 2D beam elements that have no bending stiffness. Displacement vectors are defined to include two translational displacements and one torsional displacement. The stiffness matrix derived by this method is relatively simple and well def……【全文阅读:Static analysis of synchronism deployable antenna】   〔Identification of strategy parameters for particle swarm optimizer through Taguchi method
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