Chong, Kuan Eng and Omar, Mohamed K and Abu Bakar, Nooh (2008) Solving Assembly Line Balancing Problem Using Genetic Algorithm With Heuristics-Treated Initial Population. In: World Congress On Engineering 2008, 2-4 July 2008, Imperial College, London.
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Abstract
Although genetic algorithm (GA) has been widely used to address assembly line balancing problems (ALBP), not much attention has been given to the population initialization procedure. In this paper, a comparison is made between a randomly generated initial population and a heuristics-treated initial population. A heuristics-treated population is a mix of randomly and heuristics generated individuals in the initial population. Both populations are tested with a proposed GA using established test problems from literature. The GA, using a fitness function based on realized cycle time is capable of generating good solutions.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Assembly line balancing, Genetic algorithms, Manufacturing optimization, Realized cycle time |
| Divisions: | Faculty of Manufacturing Engineering > Department of Manufacturing Management |
| Depositing User: | Prof Madya Chong Kuan Eng |
| Date Deposited: | 07 Feb 2014 07:15 |
| Last Modified: | 14 Jul 2021 13:13 |
| URI: | http://eprints.utem.edu.my/id/eprint/11109 |
| Statistic Details: | View Download Statistic |
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