残余物
选择(遗传算法)
计算机科学
数学优化
数学
算法
人工智能
出处
期刊:Cornell University - arXiv
日期:2017-01-01
被引量:26
标识
DOI:10.48550/arxiv.1704.06209
摘要
Appropriate selection of the penalty parameter is crucial to obtaining good performance from the Alternating Direction Method of Multipliers (ADMM). While analytic results for optimal selection of this parameter are very limited, there is a heuristic method that appears to be relatively successful in a number of different problems. The contribution of this paper is to demonstrate that their is a potentially serious flaw in this heuristic approach, and to propose a modification that at least partially addresses it.
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