International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Comparative Studies | Computer Science & Engineering | India | Volume 4 Issue 3, March 2015


Comparison of Advanced Optimization Algorithm for Task Scheduling in Cloud Computing

S. Gunasekaran [7] | S. Sonialpriya


Abstract: In this paper, the algorithmic concepts of the CucKoo-search (CK), Particle Swarm Optimization (PSO), Differential Evolution (DE), and Artificial Bee Colony (ABC), algorithms have been analyzed. The mathematical optimization problem solving successes of the mentioned algorithms have also been compared statistically by testing more than 20 different benchmark functions. Pragmatic results reveal that the problem solving success of the CK algorithm is very close to the DE algorithm. The run-time complexity and the required function-evaluation number for acquiring global minimiser by the DE algorithm are normally smaller than the relationship algorithms. The performances of the CK and PSO algorithms are statistically closer to the performance of the DE algorithm than the ABC algorithm. The CK and DE algorithms deliver more robust and prcis results than the PSO and ABC algorithms.


Keywords: Cuckoo search algorithm, Particle swarm optimization, Differential evaluation algorithm, Artifial bee colony algorithm


Edition: Volume 4 Issue 3, March 2015,


Pages: 1572 - 1576


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How to Cite this Article?

S. Gunasekaran, S. Sonialpriya, "Comparison of Advanced Optimization Algorithm for Task Scheduling in Cloud Computing", International Journal of Science and Research (IJSR), Volume 4 Issue 3, March 2015, pp. 1572-1576, https://www.ijsr.net/get_abstract.php?paper_id=SUB152389

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