| 基于改进微分进化算法的机构综合新方法 |
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| 引用本文： | 罗佑新.基于改进微分进化算法的机构综合新方法[J].湖南文理学院学报(自然科学版),2009,21(2):65-68. |
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| 作者姓名： | 罗佑新 |
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| 作者单位： | 湖南文理学院,机械工程学院,湖南,常德,415000
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| 基金项目： | 湖南省重点建设学科项目，国家自然科学基金，湖南省普通高校学科带头人计划 |
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| 摘 要： | 针对机构综合的非线性方程组求解问题提出了一种改进的微分进化算法.该算法是将方程组转换成一个优化问题,在进化过程中,该算法根据进化情况采用动态参数调整机制提高算法的搜索效率,并且对种群重叠状况进行实时监视,对重叠个体利用混沌搜索策略来进一步提高算法的全局寻优能力.机构综合实例结果分析表明,文中提出的改进微分进化算法高效、且全局寻优能力强.
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| 关 键 词： | 机构综合 微分进化 优化 混沌 智能优化 |
A Novel method for mechanism synthesis based on improved differential evolution algorithm |
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| LUO You-xin.A Novel method for mechanism synthesis based on improved differential evolution algorithm[J].Journal of Hunan University of Arts and Science:Natural Science Edition,2009,21(2):65-68. |
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| Authors: | LUO You-xin |
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| Institution: | College of Mechanical Engineering;Hunan University of Arts and Science;Changde;Hunan;415000 |
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| Abstract: | Aiming at solving the nonlinear equations of mechanism synthesis is presented, an improved differential evolution (DE)algorithm is proposed. The equations are transformed into an optimization problem. During the evolution, according to evolution condition in the proposed algorithm the dynamic parameter adjustment mechanism is adopted to enhance its search efficiency, the population overlap is monitored in real-time mode; for overlapped individual,by use of chaotic search strategy the global optimal searchin... |
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| Keywords: | mechanism synthesis differential evolution optimization chaos intelligent optimization |
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