A Hybrid Ant-Wolf Algorithm to Optimize Assembly Sequence Planning Problem
Purpose – This paper aims to optimize the assembly sequence planning (ASP) problem using a proposed hybrid algorithm based on Ant Colony Optimization (ACO) and Gray Wolf Optimizer (GWO). The proposed Hybrid Ant-Wolf Algorithm (HAWA) is designed to overcome premature convergence in ACO. Design/metho...
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| Format: | Article |
| Language: | English |
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Emerald Publishing Limited
2017
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| Online Access: | http://umpir.ump.edu.my/id/eprint/17664/ http://umpir.ump.edu.my/id/eprint/17664/ http://umpir.ump.edu.my/id/eprint/17664/ http://umpir.ump.edu.my/id/eprint/17664/1/fkm-2017-fadzil-A%20hybrid%20Ant-Wolf%20Algorithm1.pdf |