Using stigmergy to solve numerical optimization problems

被引：0
|
作者：
Korosec, Peter [1 ]
Silc, Jurij [1 ]
机构：
[1] Jozef Stefan Inst, Comp Syst Dept, Ljubljana 1000, Slovenia
来源：
COMPUTING AND INFORMATICS | 2008年 / 27卷 / 03期
关键词：
ant-based algorithm; multilevel approach; numerical optimization; stigmergy;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The current methodology for designing highly efficient technological systems needs to choose the best combination of the parameters that affect the performance. In this paper we propose a promising optimization algorithm, referred to as the Multilevel Ant Stigmergy Algorithm (MASA), which exploits stigmergy in order to optimize multi-parameter functions. We evaluate the performance of the MASA and Differential Evolution - one of the leading stochastic method for numerical optimization - in terms of their applicability as numerical optimization techniques. The comparison is performed using several widely used benchmark functions with added noise.
引用
收藏
页码：377 / 402
页数：26
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