COMPUTATIONAL ALGORITHMS BASED ON RANDOM SEARCH FOR SOLVING GLOBAL OPTIMIZATION PROBLEMS

被引：4

作者：

MOHAN, C

SHANKER, K

机构：

[1] Mathematics Department, University of Roorkee

[2] Computer Center, Central Building Research Institute

来源：

INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS | 1990年 / 33卷 / 1-2期

关键词：

computational methods; Global optimization; random search techniques;

D O I：

10.1080/00207169008803842

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

Computational algorithms based on random search approach for solving unconstrained and constrained global optimization problems have been proposed and tested on a number of test problems taken from literature. The results show that the proposed algorithms can be used to solve moderately sized unconstrained, inequality constrained and a class of equality constrained global optimization problems. © 1990, Taylor & Francis Group, LLC

引用

页码：115 / 126

页数：12

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[10]

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