| 基于遗传算法的模糊优化研究 |
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| 引用本文： | 金朝光,林焰,纪卓尚.基于遗传算法的模糊优化研究[J].系统工程理论与实践,2003,23(4):106-110. |
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| 作者姓名： | 金朝光 林焰 纪卓尚 |
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| 作者单位： | 大连理工大学船舶CAD工程中心 |
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| 基金项目： | 教育部“跨世纪优秀人才培养计划”基金 (1999)，高等学校博士学科点专项科研基金 (2 0 0 0 0 14 12 5 ) |
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| 摘 要： | 针对约束条件、系数和优化变量均为模糊数形式的线性和非线性全模糊优化问题 ,利用模糊数积分排序方法 ,提出了基于遗传算法的模糊优化问题求解方法 ,在该方法中对优化变量采用模糊数编码(每个变量用三个实数编码 ,对应三角模糊数中的 a,b,c) ,最后通过全模糊线性和非线性优化算例 ,验证了方法的有效性.
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| 关 键 词： | 模糊数 模糊优化 遗传算法 |
| 文章编号： | 1000-6788(2003)04-0106-05 |
| 修稿时间： | 2002年4月5日 |
Study on Fuzzy Optimization Based on Genetic Algorithm |
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| JIN Chao-guang,LIN Yan,JI Zhuo-shang.Study on Fuzzy Optimization Based on Genetic Algorithm[J].Systems Engineering —Theory & Practice,2003,23(4):106-110. |
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| Authors: | JIN Chao-guang LIN Yan JI Zhuo-shang |
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| Institution: | Ship CAD Eng Cent; Dalian Univ of Technol |
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| Abstract: | Using fuzzy numbers ranking this paper presents a method based on genetic algorithm to solving fully fuzzy linear and nonlinear optimization problems that the constrain conditions, coefficients and optimum variables are fuzzy numbers. In the method the variables are encoded as triangular fuzzy numbers, i.e., a variable is represented by three real numbers which are a,b and c of a triangular fuzzy number respectively. It can be concluded that the method is efficient and practicable by means of fully fuzzy linear and nonlinear optimization examples. |
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| Keywords: | fuzzy number fuzzy optimization genetic algorithm |
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