An optimized multiobjective CPU job scheduling using evolutionary algorithms
نویسندگان
چکیده
منابع مشابه
Multiobjective optimization using evolutionary algorithms
Evolutionary algorithms (EAs) such as evolution strategies and genetic algorithms have become the method of choice for optimization problems that are too complex to be solved using deterministic techniques such as linear programming or gradient (Jacobian) methods. The large number of applications (Beasley (1997)) and the continuously growing interest in this field are due to several advantages ...
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Acknowledgements Many thanks to the following people: To my supervisors Anders Barfod, Flemming Skov and Thiemo Krink for inspiring me to do this work and for the supervision i received during the process. To Rasmus Kjaer Ursem and Rene Thomsen from the EVALife Group for comments on the report and for linux and latex support when things got rough. To my girlfriend Tina and our children Anton an...
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ژورنال
عنوان ژورنال: TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES
سال: 2018
ISSN: 1300-0632,1303-6203
DOI: 10.3906/elk-1701-22