学术
Application of particle swarm optimization algorithm in bellow optimum design
YU Ying[1,2] Zhu Qing-nan[3] YU Xiao-Chun[1] LI Yong-Sheng[1]
[1]Nanjing University of Technology, Nanjing 210009, China [2]China Pharmaceutical University, Nanjing 210009, China [3]Jiangsu Province Special Equipment Safety Supervision Inspection Institute, Nanjing 210003, China
文章出处:
《通讯和计算机》-2007年4卷7期 -50-56页
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Application of particle swarm optimization algorithm in bellow optimum design
Abstract:
In this paper, Particle Swarm Optimization Algorithm （PSOA） is used in problem of the bellow optimum design with constraints, in which the design variables are discrete. To implement bellow optimum design by PSOA, an augmented objective function is constructed based on penalty function and a new updating scheme of penalty parameter s is proposed. A new Discrete PSOA （DPSOA） is proposed. The mathematic model of bellow optimum design is established. Through numerical examples of bellow design, comparing the results of examples by proposed DPSOA with the theory solutions by Net method, it shows that the particle swarm optimization algorithm can be applied to the bellow optimum design successfully and satisfactory results by DPSOA are obtained, which is discrete optimal solution in the feasible domain.[著者文摘]
Key words:
bellow optimum design; particle swarm optimization; mathematical models; discrete penalty function; global optimum
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