Scheduling scientific workflows on virtual machines using a Pareto and hypervolume based black hole optimization algorithm
Author:
Funder
University of Kashan
Publisher
Springer Science and Business Media LLC
Subject
Hardware and Architecture,Information Systems,Theoretical Computer Science,Software
Link
http://link.springer.com/content/pdf/10.1007/s11227-020-03183-4.pdf
Reference66 articles.
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3. Zitzler E, Kunzli S (2004) Indicator-based selection in multiobjective search. In: In Proceedings of 8th International Conference on Parallel Problem Solving from Nature (PPSN VIII). Springer, pp 832–842
4. Beume N, Naujoks B, Emmerich M (2007) SMS-EMOA: multiobjective selection based on dominated hypervolume. Eur J Oper Res 181:1653–1669
5. Igel C, Hansen N, Roth S (2007) Covariance matrix adaptation for multi-objective optimization. Evol Comput 15:1–28
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