Recent developments and trends in global optimization

被引：152

作者：

Pardalos, PM

Romeijn, HE

Tuy, H

机构：

[1] Univ Florida, Dept Ind & Syst Engn, Ctr Appl Optimizat, Gainesville, FL 32611 USA

[2] Inst Math, Hanoi, Vietnam

来源：

JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS | 2000年 / 124卷 / 1-2期

关键词：

global optimization; deterministic methods; stochastic methods; monotonicity; minimax; integer programming;

D O I：

10.1016/S0377-0427(00)00425-8

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

Many optimization problems in engineering and science require solutions that are globally optimal. These optimization problems are characterized by the nonconvexity of the feasible domain or the objective function and may involve continuous and/or discrete variables. In this paper we highlight some recent results and discuss current research trends on deterministic and stochastic global optimization and global continuous approaches to discrete optimization. (C) 2000 Elsevier Science B.V. All rights reserved.

引用

页码：209 / 228

页数：20

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