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无约束多目标优化的一种新的下降算法 被引量:1

A New Descent Algorithm for Unconstrained Multiobjective Programming
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摘要 基于无约束多目标的最速下降法,提出了无约束多目标优化问题的一种新的下降算法,并证明了该算法在Armijo线性搜索下的收敛性.数据试验结果验证了该算法的有效性. Based on the steepest descent method for multicriteria optimization, a new descent algorithm for mul-tiobjective programming without constraints was presented, and its convergence under Armijo line search was proved. Numerical results showed that the proposed method was efficient.
作者 张诗诗 徐尔
出处 《信阳师范学院学报(自然科学版)》 CAS 北大核心 2014年第4期499-501,共3页 Journal of Xinyang Normal University(Natural Science Edition)
关键词 多目标优化 最速下降法 Armijo线性搜索 Pareto-临界点 multiobjective programming steepest descent method Armijo line search Pareto critical
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