A Modified Harmony Search Algorithm for Numerical Optimization Problems

Hong Gang Xia; Qing Zhou Wang

doi:10.4028/www.scientific.net/AMR.989-994.2532

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 989-994A Modified Harmony Search Algorithm for Numerical...

A Modified Harmony Search Algorithm for Numerical Optimization Problems

Abstract:

This paper presents a modified harmony search (MHS) algorithm for solving numerical optimization problems. MHS employs a novel self-learning strategy for generating new solution vectors that enhances accuracy and convergence rate of harmony search (HS) algorithm. In the proposed MHS algorithm, the harmony memory consideration rate (HMCR) is dynamically adapted to the changing of objective function value in the current harmony memory. The other two key parameters PAR and bw adjust dynamically with generation number. Based on a large number of experiments, MHS has demonstrated stronger convergence and stability than original harmony search (HS) algorithm and its two improved algorithms (IHS and GHS).

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Periodical:

Advanced Materials Research (Volumes 989-994)

Pages:

2532-2535

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.989-994.2532

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Online since:

July 2014

Authors:

Hong Gang Xia*, Qing Zhou Wang

Keywords:

Convergence, Modified Harmony Search, Self-Learning Strategy, Stability

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* - Corresponding Author

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