matlab's solver yalmip r20110608 (MathWorks Inc)
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matlab's solver yalmip r20110608
Matlab's Solver Yalmip R20110608, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/matlab's+solver+yalmip+r20110608/10__1080_slash_0951192x__2015__1099074-251-7-6
Average 90 stars, based on 1 article reviews
Matlab's Solver Yalmip R20110608, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/matlab's+solver+yalmip+r20110608/10__1080_slash_0951192x__2015__1099074-251-7-6
Average 90 stars, based on 1 article reviews
matlab's solver yalmip r20110608 - by Bioz Stars,
2026-09
90/100 stars
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other:Article Title: Graph colouring-based algorithm to parallel jobs scheduling on parallel factories Article Snippet: Full Terms & Conditions of access and use can be found at http://www.tandfonline.com/action/journalInformation?journalCode=tcim20 Download by: [University of Lethbridge] Date: 10 October 2015, At: 03:08 International Journal of Computer Integrated Manufacturing ISSN: 0951-192X (Print) 1362-3052 (Online) Journal homepage: http://www.tandfonline.com/loi/tcim20 Graph colouring-based algorithm to parallel jobs scheduling on parallel factories J. Behnamian To cite this article: J. Behnamian (2015): Graph colouring-based algorithm to parallel jobs scheduling on parallel factories, International Journal of Computer Integrated Manufacturing, DOI: 10.1080/0951192X.2015.1099074 To link to this article: http://dx.doi.org/10.1080/0951192X.2015.1099074 Published online: 08 Oct 2015.. Submit your article to this journal View related articles View Crossmark data Graph colouring-based algorithm to parallel jobs scheduling on parallel factories J. Behnamian* Department of Industrial Engineering, Faculty of Engineering, Bu-Ali Sina University, Hamedan, Iran (Received 23 April 2014; accepted 2 August 2015) This paper studies the multi-factory scheduling problem where a number of different individual factories join together to form a production network.. In this problem, it is assumed each job has an original factory that initially ordered it, jobs can transport between the different factories in overloaded situations and the speed of machines in each factory can be different. |