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  1. M. Karthikeyan and T. Sree Ranga Raja, “Dynamic harmony search with polynomial mutation algorithm for valve-point economic load dispatch,” The Scientific World Journal, vol. 2015, Article ID 147678, 10 pages, 2015.
The Scientific World Journal
Volume 2015, Article ID 147678, 10 pages
Research Article

Dynamic Harmony Search with Polynomial Mutation Algorithm for Valve-Point Economic Load Dispatch

1Department of Electrical and Electronics Engineering, University College of Engineering Pattukkottai, Rajamadam, Tamilnadu 614701, India
2Department of Electrical and Electronics Engineering, University College of Engineering, Nagerkovil, Tamilnadu 629001, India

Received 31 January 2015; Revised 1 April 2015; Accepted 4 April 2015

Academic Editor: Mallipeddi Rammohan

Copyright © 2015 M. Karthikeyan and T. Sree Ranga Raja. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Economic load dispatch (ELD) problem is an important issue in the operation and control of modern control system. The ELD problem is complex and nonlinear with equality and inequality constraints which makes it hard to be efficiently solved. This paper presents a new modification of harmony search (HS) algorithm named as dynamic harmony search with polynomial mutation (DHSPM) algorithm to solve ORPD problem. In DHSPM algorithm the key parameters of HS algorithm like harmony memory considering rate (HMCR) and pitch adjusting rate (PAR) are changed dynamically and there is no need to predefine these parameters. Additionally polynomial mutation is inserted in the updating step of HS algorithm to favor exploration and exploitation of the search space. The DHSPM algorithm is tested with three power system cases consisting of 3, 13, and 40 thermal units. The computational results show that the DHSPM algorithm is more effective in finding better solutions than other computational intelligence based methods.