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Particle Swarm Group Search Optimizer and Its Application to the Truss Structural Design

Author: ZengShiKai
Tutor: LiLiJuan
School: Guangdong University of Technology
Course: Structural Engineering
Keywords: Group search optimization algorithm Particle Swarm Optimization Hybrid Optimization Algorithm Structural optimization Convergence rate Convergence precision
CLC: TP301.6
Type: Master's thesis
Year: 2011
Downloads: 59
Quote: 1
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Abstract


For modern intelligent optimization algorithms , particle swarm optimization algorithm and group search optimization algorithm two swarm intelligence optimization algorithm , based on these two swarm intelligence optimization algorithm , combined with harmony search optimization algorithm , proposed a new hybrid intelligent optimization algorithms, particle swarm search hybrid optimization algorithm ( PSGSO ) . Introduced the concept of structural optimization problems and optimize the course of development of the design algorithm , particle swarm optimization algorithm and group search optimization of the basic idea , the basic principles and implementation process . The detailed description of the content , including PSGSO hybrid optimization algorithm generation principle , implementation and optimization algorithm combine with harmony search . There are three types this article PSGSO algorithm respectively , a first type is applicable to the design variable is continuously variable algorithm ; second type is suitable for the design variables are the algorithm of the discrete variables ; third type are applicable to the design variable is mixed variables the algorithm, which is included in the design variable for continuous variables and discrete variables . MATLAB-based platform , to write the main program PSGSO hybrid optimization algorithm , and combined with the finite element method , the algorithm is applied to multiple classic truss structure the section optimization design example . On PSGSO hybrid optimization algorithm when asked efficiency study example results show that proposed in this paper PSGSO hybrid optimization algorithm has a staggering number of particles less adaptability can greatly improve the efficiency of optimization calculation . Applied to the design variables PSGSO hybrid optimization algorithm for mixed variable shape of the truss structure optimization design, design variables include discrete -variable and continuous geometric variables , the study results show that for the shape optimal design problem , the algorithm also has good convergence speed and convergence precision .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > General issues > Theories, methods > Algorithm Theory
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