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Solving assembly line balancing problem using genetic algorithm with heuristics-treated initial population

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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