| Application of particle swarm optimization algorithm in bellow optimum design |
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| 引用本文： | YU Ying Zhu Qing-nan YU Xiao-Chun LI Yong-Sheng. Application of particle swarm optimization algorithm in bellow optimum design[J]. 通讯和计算机, 2007, 4(7): 50-56 |
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| 作者姓名： | YU Ying Zhu Qing-nan YU Xiao-Chun LI Yong-Sheng |
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| 作者单位： | [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 |
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| 摘 要： | 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.
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| 关 键 词： | 最优化设计 颗粒群最优化算法 应用 数学模型 间断永续性 全球最优化 |
Application of particle swarm optimization algorithm in bellow optimum design |
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| Abstract: | |
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| Keywords: | bellow optimum design particle swarm optimization mathematical models discrete penalty function global optimum |
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