English

Canonical dual method for mixed integer fourth-order polynomial minimization problems with fixed cost terms

Optimization and Control 2016-07-19 v1

Abstract

We study a canonical duality method to solve a mixed-integer nonconvex fourth-order polynomial minimization problem with fixed cost terms. This constrained nonconvex problem can be transformed into a continuous concave maximization dual problem without duality gap. The global optimality conditions are proposed and the existence and uniqueness criteria are discussed. Application to a decoupled mixed-integer problem is illustrated and analytic solution for a global minimum is obtained under some suitable conditions. Several examples are given to show the method is effective.

Keywords

Cite

@article{arxiv.1607.04748,
  title  = {Canonical dual method for mixed integer fourth-order polynomial minimization problems with fixed cost terms},
  author = {Zhong Jin and David Y Gao},
  journal= {arXiv preprint arXiv:1607.04748},
  year   = {2016}
}

Comments

15 pages, 7 tables

R2 v1 2026-06-22T14:56:22.709Z