Hybrid constrained permutation algorithm and genetic algorithm for process planning problem

In this research, a hybrid constrained permutation algorithm and genetic algorithm approach is proposed to solve the process planning problem and to facilitate the optimisation process. In this approach, the process planning problem is represented as a graph in which operations are clustered corresp...

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Veröffentlicht in:	Journal of intelligent manufacturing Jg. 31; H. 5; S. 1079 - 1099
Hauptverfasser:	Falih, Abdullah, Shammari, Ahmed Z. M.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.06.2020 Springer Nature B.V
Schlagworte:	Advanced manufacturing technologies Algorithms Ant colony optimization Business and Management Comparative studies Computer simulation Control Feasibility Genetic algorithms Graphical representations Machines Manufacturing Mechatronics Permutations Process planning Processes Production Robotics Sequences Simulated annealing Tabu search Constrained permutation algorithm Operation sequencing Process planning Genetic algorithm
ISSN:	0956-5515, 1572-8145
Online-Zugang:	Volltext
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