Computational global optimization:: Models, algorithms and applications

被引：0

作者：

Pintér, JD ^{[1
]}

机构：

[1] Pinter Consulting Serv, Halifax, NS B3M 1J2, Canada

来源：

COMPUTATIONAL INTELLIGENCE FOR MODELLING, CONTROL & AUTOMATION - EVOLUTIONARY COMPUTATION & FUZZY LOGIC FOR INTELLIGENT CONTROL, KNOWLEDGE ACQUISITION & INFORMATION RETRIEVAL | 1999年 / 55卷

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The objective of global optimization (GO) is to find the absolutely best solution of constrained nonlinear decision models that often have multiple-local and global-optima. We present a review of the most frequently used GO models and solution strategies, highlighting also issues in software development. Next, the principal features of LGO-an integrated model development and solver system for analyzing GO problems-are discussed. For illustration, a variety of important applications are listed with further pointers towards the rapidly increasing body of GO literature.

引用

页码：1 / 10

页数：10

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