GLOBAL OPTIMIZATION OF MIXED-INTEGER MODELS WITH QUADRATIC AND SIGNOMIAL FUNCTIONS: A REVIEW

被引：0
|
作者：
Misener, Ruth [1 ]
Floudas, Christodoulos A. [1 ]
机构：
[1] Princeton Univ, Dept Chem & Biol Engn, Princeton, NJ 08544 USA
来源：
APPLIED AND COMPUTATIONAL MATHEMATICS | 2012年 / 11卷 / 03期
基金：
美国国家科学基金会;
关键词：
Mixed-Integer Quadratically-Constrained Quadratic Programs; Mixed-Integer Signomial Optimization Problems; Global Optimization; SEMIDEFINITE PROGRAMMING RELAXATIONS; DIFFERENTIABLE CONSTRAINED NLPS; TRANSPORTATION FUEL DEMANDS; NATURAL-GAS PROCESSES; WASTE-WATER TREATMENT; NONCONVEX NLPS; DISTILLATION SEQUENCES; CONVEX ENVELOPES; BOUND ALGORITHM; ALPHA-BB;
D O I：
暂无
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
Mixed-integer quadratically-constrained quadratic programs (MIQCQP) and mixed-integer signomial optimization problems (MISO) are two important classes of mixed-integer nonconvex programs (nonconvex MINLP). This review discusses the practical applications of MIQCQP and MISO, and covers algorithms designed to globally optimize them. We also describe numerical optimization software designed to solve these classes of problems.
引用
收藏
页码：317 / 336
页数：20
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