Applying multi-objective ant colony optimization algorithm for solving the unequal area facility layout problems
- 1 January 2019
- journal article
- research article
- Published by Elsevier in Applied Soft Computing
- Vol. 74, 167-189
Abstract
No abstract availableKeywords
Funding Information
- Natural Science Foundation of Jiangsu Province (BK20181409, BK20171458)
- National Natural Science Foundation of China (61373016)
- National Social Science Foundation of China (16ZDA047)
This publication has 50 references indexed in Scilit:
- Unequal area flexible bay facility layout using ant colony optimisationInternational Journal of Production Research, 2011
- Multiobjective evolutionary algorithms: A survey of the state of the artSwarm and Evolutionary Computation, 2011
- A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithmsSwarm and Evolutionary Computation, 2011
- An improved energy landscape paving algorithm for the problem of packing circles into a larger containing circleComputers & Industrial Engineering, 2009
- Optimal facility layout designOperations Research Letters, 1998
- A reexamination of the distance-based facility layout problemIIE Transactions, 1997
- Ant system: optimization by a colony of cooperating agentsIEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 1996
- Unequal-area facility layout by genetic searchIIE Transactions, 1995
- Muiltiobjective Optimization Using Nondominated Sorting in Genetic AlgorithmsEvolutionary Computation, 1994
- Static and Dynamic Layout Problems with Varying AreasJournal of the Operational Research Society, 1994