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
收藏
页码：115 / 126
页数：12
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