International Journal of Science and Research (IJSR)

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

ISSN: 2319-7064

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Research Paper | Computer Science & Engineering | India | Volume 5 Issue 7, July 2016

Effective and Optimized Software Reliability Prediction

Meenakshi Malik [2] | Garima Garg [4]

Abstract: The main segment intends to review and psychoanalyze the vast and New harmonysearch (HS) algorithm according to the point of view of metaheuristics algorithms. At first I will talk about the fundamental strides of HarmonySearch and how it fills in according to the desires. I then attempt to perceive the characteristics of metaheuristics and analyze why HarmonySearch is a valuable metaheuristics algorithm. I then backtrack succinctly other surely understood metaheuristics, for instance parxticle swarxm optimization so as to find their similitudes and contrasts from HarmonySearch. Finally I will analyze the diverse ways to deal with improve and develop new varieties of HarmonySearch. This paper results in an enhanced harmonysearch (IHS) algorithm to take care of exceptionally streamlined issues. Enhanced harmonySearch uses a novel method for making new game plan vectors that enhances precision and union rate of harmonysearchalgorithm. I will clarify the effect of consistent parameters on harmonysearchalgorithm. In addition a system for tuning these parameters is additionally shown. The enhanced harmonysearchalgorithm has been successfully connected to various benchmarking and standard outlining optimization issues. Numerical results reveal that the proposed algorithm can find better plans right when stood out from HarmonySearch and other heuristic or deterministic schedules and is an extreme journey figuring for various planning optimization issues.

Keywords: HarmonySearch, Metaheuristics, Diversification, Intensification

Edition: Volume 5 Issue 7, July 2016,

Pages: 638 - 642

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How to Cite this Article?

Meenakshi Malik, Garima Garg, "Effective and Optimized Software Reliability Prediction", International Journal of Science and Research (IJSR), Volume 5 Issue 7, July 2016, pp. 638-642,