The dynamics of ant colony optimization algorithms applied to binary chains

被引：0
|
作者：
Claudio Iacopino
Phil Palmer
机构：
[1] University of Surrey,Surrey Space Centre
来源：
Swarm Intelligence | 2012年 / 6卷
关键词：
Ant colony optimization algorithm; Change of stability; Dynamical systems; ODE; Equilibrium point; Parameter impact analysis;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In the last decade Ant Colony Optimization (ACO) algorithms have received increasing attention due to their flexibility and adaptability to different applications. Despite these advantages, their design and analysis are still critical issues; research on formal methods could increase the reliability of these systems and extend their applications to critical scenarios such as space or military.
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页码：343 / 377
页数：34
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