2010
DOI: 10.4028/www.scientific.net/amm.26-28.1147
|View full text |Cite
|
Sign up to set email alerts
|

A Meta-Heuristic with Ant Colony Approach to Complex System

Abstract: This paper proposes a new approach to determining the complex system design for a product mix comprising complex hierarchies of subassembly and components. Pareto Ant Colony Optimisation as an especially effective meta-heuristic for solving the problem of complex system design was introduced in this paper. A Pareto Optimal Set of complex system in which only the non dominated solutions allow ants to deposit pheromones over the time and cost pheromone matrices after certain generation runs. Simulation results… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 6 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?