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Independent Task Scheduling by Artificial Immune Systems, Differential Evolution, and Genetic Algorithms

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3 Author(s)
Kromer, P. ; Fac. of Electr. Eng. & Comput. Sci., VSB-Tech. Univ. of Ostrava, Ostrava-Poruba, Czech Republic ; Plato, J. ; Snasel, V.

Scheduling is one of the core steps to efficiently exploit the capabilities of heterogeneous distributed computing systems and it is also an appealing NP-complete problem. There is a number of heuristic and metaheuristic algorithms that were tailored to deal with scheduling of independent jobs. In this study we investigate the efficiency of three bio-inspired metaheuristics for finding good schedules of independent tasks.

Published in:

Intelligent Networking and Collaborative Systems (INCoS), 2012 4th International Conference on

Date of Conference:

19-21 Sept. 2012