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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Veröffentlicht in:	Knowledge-based systems Jg. 57; S. 95 - 103
Hauptverfasser:	Zheng, Xiao-long, Wang, Ling, Wang, Sheng-yao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.02.2014
Schlagworte:	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-Zugang:	Volltext
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