A Meta-Heuristic with Ant Colony Approach to Complex System

Abstract:

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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 that the model for complex system and the hybrid algorithms are effective to the design of complex system.

Info:

Periodical:

Edited by:

Zhenyu Du and Bin Liu

Pages:

1147-1150

DOI:

10.4028/www.scientific.net/AMM.26-28.1147

Citation:

Z. L. Liu et al., "A Meta-Heuristic with Ant Colony Approach to Complex System", Applied Mechanics and Materials, Vols. 26-28, pp. 1147-1150, 2010

Online since:

June 2010

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Price:

$35.00

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