Ant colony approach to continuous function optimization

被引：0
|
作者：
Mathur, Mohit
Karale, Sachin B.
Priye, Sidhartha
Jayaraman, V.K.
Kulkarni, B.D.
机构：
来源：
Industrial and Engineering Chemistry Research | 2000年 / 39卷 / 10期
关键词：
Stochastic control systems - Algorithms - Optimization;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
An ant colony optimization framework has been compared and shown to be a viable alternative approach to other stochastic search algorithms. The algorithm has been tested for variety of different benchmark test functions involving constrained and unconstrained NLP, MILP, and MINLP optimization problems. This novel algorithm handles different types of continuous functions very well and can be successfully used for large-scale process optimization.
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页码：3814 / 3822
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