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 |
Published: |
Emerald Publishing Limited
2017
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Online Access: | http://umpir.ump.edu.my/id/eprint/17664/1/fkm-2017-fadzil-A%20hybrid%20Ant-Wolf%20Algorithm1.pdf http://umpir.ump.edu.my/id/eprint/17664/ http://dx.doi.org/10.1108/AA-11-2016-143 |
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Institution: | Universiti Malaysia Pahang |
Language: | English |