Record number :
963051
Title of article :
Application of New Hybrid Particle Swarm Optimization and Gravitational Search Algorithm for Non Convex Economic Load Dispatch Problem
Author/Authors :
آشوري، ماني نويسنده Department of Electrical and Computer Engineering, Babol Noshirvani University of Technology, Babol, Iran Ashouri, Mani , حسيني، سيدمهدي 1353 نويسنده علوم انساني ,
Issue Information :
فصلنامه با شماره پیاپی 12 سال 2013
Pages :
11
From page :
41
To page :
51
Abstract :
The Gravitational Search Algorithm (GSA) is a novel optimization method based on the law of gravity and mass interactions. It has good ability to search for the global optimum, but its searching speed is really slow in the last iterations. So the hybridization of Particle Swarm Optimization (PSO) and GSA can resolve the aforementioned problem. In this paper, a modified PSO, which the movement of particles is also based on getting away from individual worst solution other than going toward the best ones, is combined with GSA, named (PSOGSA) and is applied on ELD problem. A 6 unit case study considering transmission loss, prohibited zones and ramp rate limits and also a 40 unit system with valve point loading effect has been used to show the feasibility of the method. The results show fast and great convergence compared to the many other previously applied methods.
Journal title :
Journal of Advances in Computer Research
Serial Year :
2013
Link To Document :
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