Optimization of mixed-model assembly line balancing problem with resource constraints

Optimization of mixed-model assembly line balancing problem with resource constraints

In this study, mixed-model assembly line balanuinfi problem is used to- analyze the performance of four evolutionary algorithms (E'As), namely particle swarm optimization (PSO), simulated annealing (SA), ant colony optimization (ACO) and genetic algorithm (GA). Three categories of test problem...

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Bibliographic Details
Main Authors: M. M., Razali, M. F. F., Ab Rashid, M.R.A., Make
Format: Book Section
Language:English
Published: Centre for Advanced Research on Energy (CARe) 2017
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://umpir.ump.edu.my/id/eprint/18289/
http://umpir.ump.edu.my/id/eprint/18289/
http://umpir.ump.edu.my/id/eprint/18289/1/5.Optimization%20of%20mixed-model%20assembly%20line%20balancing%20problem%20with%20resource%20constraints.pdf

Internet

http://umpir.ump.edu.my/id/eprint/18289/
http://umpir.ump.edu.my/id/eprint/18289/
http://umpir.ump.edu.my/id/eprint/18289/1/5.Optimization%20of%20mixed-model%20assembly%20line%20balancing%20problem%20with%20resource%20constraints.pdf

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