Bakar, Nooh Abu and Omar, Mohamed K. and Chong, Kuan Eng (2008) Solving assembly line balancing problem using genetic algorithm with heuristics-treated initial population. In: World Congress on Engineering 2008, Vol II, 02-04 July 2008, London, England.
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Official URL: http://www.iaeng.org/publication/WCE2008/WCE2008_p...
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) |
|---|---|
| Additional Information: | Book series title: Lecture Notes in Engineering and Computer Science |
| Uncontrolled Keywords: | assembly line balancing, genetic algorithms, manufacturing optimization, realized cycle time |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Electrical Engineering |
| ID Code: | 11618 |
| Deposited By: | Nor Asmida Abdullah |
| Deposited On: | 23 Dec 2010 10:00 |
| Last Modified: | 23 Dec 2010 10:00 |
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