A novel fruit fly optimization algorithm for the semiconductor final testing scheduling problem

•A novel fruit fly optimization algorithm is proposed for SFTSP.•Novel encoding and decoding methods are designed.•Effective smell-based, vision-based and cooperative searches are proposed.•Semiconductor final testing scheduling problem is solved effectively. In this paper, a novel fruit fly optimiz...

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Bibliographic Details
Published in:	Knowledge-based systems Vol. 57; pp. 95 - 103
Main Authors:	Zheng, Xiao-long, Wang, Ling, Wang, Sheng-yao
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.02.2014
Subjects:	Algorithms Cooperative search Crossovers Fruit fly optimization algorithm Fruits Mathematical models Operators Search process Searching Semiconductor final testing scheduling problem Semiconductors Smell-based search Vision-based search Vision-based search Smell-based search Semiconductor final testing scheduling problem Fruit fly optimization algorithm Cooperative search
ISSN:	0950-7051, 1872-7409
Online Access:	Get full text
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