| 量子粒子群算法优化钢结构截面 |
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| 引用本文： | 谭德坤.量子粒子群算法优化钢结构截面[J].河南科技大学学报(自然科学版),2011,32(3):47-51,111. |
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| 作者姓名： | 谭德坤 |
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| 作者单位： | 南昌工程学院,计算机系,江西南昌330099 |
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| 基金项目： | 江西省科技计划基金项目(2007CC0200) |
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| 摘 要： | 传统的钢结构截面优化方法通常采用试算法,很难获得全局最优解。在经典粒子群算法的基础上,通过研究量子行为,提出了基于量子行为的粒子群算法,并将其应用于钢结构截面优化设计,详细描述了算法的原理和优化步骤,给出了钢结构截面优化数学模型,并对两个典型工程优化实例进行了实验验证。典型算例的截面优化结果表明:与PSO算法及传统试算法相比,该算法的优化结果最好,在满足工程要求的前提下,截面参数合理,截面面积最小,经济性得到了明显提高。
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| 关 键 词： | 量子粒子群算法 约束优化 钢结构 截面优化计算 |
Optimization Calculation of Steel Structure Sections Based on Quantum-behaved Particle Swarm Optimization |
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| TAN De-Kun.Optimization Calculation of Steel Structure Sections Based on Quantum-behaved Particle Swarm Optimization[J].Journal of Henan University of Science & Technology:Natural Science,2011,32(3):47-51,111. |
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| Authors: | TAN De-Kun |
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| Institution: | TAN De-Kun (Department of Computer Science & Technology,Nanchang Institute of Technology,Nanchang 330099,China) |
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| Abstract: | The traditional optimal design method of steel members section often uses trial method,it is hard to obtain the global best solution.On the basis of studying the classical particle swarm optimization(PSO),the quantum-behaved particle swarm optimization(QPSO) from the perspective of quantum mechanics was presented in this paper,and QPSO was used to design the optimal section of steel elements.The principle and optimization steps of the algorithm were described in detail.The optimization mathematical model of... |
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| Keywords: | Quantum-behaved particle swarm optimization algorithm Constrained optimization Steel structure Section optimization calculation |
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