Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
481158 | European Journal of Operational Research | 2010 | 17 Pages |
Abstract
Ant Colony Optimization (ACO) is a young metaheuristic algorithm which has shown promising results in solving many optimization problems. To date, a formal ACO-based metaheuristic has not been applied for solving Unequal Area Facility Layout Problems (UA-FLPs). This paper proposes an Ant System (AS) (one of the ACO variants) to solve them. As a discrete optimization algorithm, the proposed algorithm uses slicing tree representation to easily represent the problems without too restricting the solution space. It uses several types of local search to improve its search performance. It is then tested using several case problems with different size and setting. Overall, the proposed algorithm shows encouraging results in solving UA-FLPs.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Komarudin, Kuan Yew Wong,