A genetic algorithm approach for the single machine scheduling problem with linear earliness and quadratic tardiness penalties-Reference-Cited by-同舟云学术

A genetic algorithm approach for the single machine scheduling problem with linear earliness and quadratic tardiness penalties

Published:2009-10 Issue:10 Volume:36 Page:2707-2715
ISSN:0305-0548
Container-title:Computers & Operations Research
language:en
Short-container-title:Computers & Operations Research

Author:

Valente Jorge M.S.,Gonçalves José Fernando

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Modeling and Simulation,General Computer Science

Reference31 articles.

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5. Landis K. Group technology and cellular manufacturing in the Westvaco Los Angeles VH department. Project report in IOM 581, School of Business, University of Southern California; 1993.

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