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Complete Solutions to Mixed Integer Programming

Complete Solutions to Mixed Integer Programming
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摘要 This paper considers a new canonical duality theory for solving mixed integer quadratic programming problem. It shows that this well-known NP-hard problem can be converted into concave maximization dual problems without duality gap. And the dual problems can be solved, under certain conditions, by polynomial algorithms. This paper considers a new canonical duality theory for solving mixed integer quadratic programming problem. It shows that this well-known NP-hard problem can be converted into concave maximization dual problems without duality gap. And the dual problems can be solved, under certain conditions, by polynomial algorithms.
作者 Ning Ruan
机构地区 School of Science
出处 《American Journal of Computational Mathematics》 2013年第3期27-30,共4页 美国计算数学期刊(英文)
关键词 DUALITY Theory Double WELL Global OPTIMIZATION CANONICAL Dual TRANSFORMATION Combinatorial OPTIMIZATION NP-HARD Problems Duality Theory Double Well Global Optimization Canonical Dual Transformation Combinatorial Optimization NP-hard Problems
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