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/methodol...

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Veröffentlicht in:	Assembly automation 2017-01, Vol.37 (2), p.238-248
1. Verfasser:	Ab Rashid, Mohd Fadzil Faisae
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Ant colony optimization Assembly Genetic algorithms Heuristic methods Leadership Optimization Product development Production planning Researchers
Online-Zugang:	Volltext
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