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模糊非线性规划问题的改进算法 被引量:2

An improved algorithm of fuzzy nonlinear programming problem
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摘要 对带有模糊目标和约束的模糊非线性规划问题,给定了一个基于合力搜索方向的遗传算法,并通过数值例子,验证算法的有效性和实用性。 Proposed is an improved algorithm based on Genetic Algotithm to solve a type of fuzzy nonlinear programming problem with fuzzy objective and constraints. Then this algorithm is applied to a numerical experiment to demonstrate the effectiveness of it.
作者 李锦绣
机构地区 渤海大学数学系
出处 《渤海大学学报(自然科学版)》 CAS 2008年第4期358-360,共3页 Journal of Bohai University:Natural Science Edition
基金 辽宁省教育厅科研资金资助项目(No:2004C058)
关键词 模糊非线性规划 加权合力 遗传算法 fuzzy nonlinear programming total force genetic algorithm
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