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Information Journal Paper

Title

APPLICATION OF NEW HYBRID PARTICLE SWARM OPTIMIZATION AND GRAVITATIONAL SEARCH ALGORITHM FOR NON CONVEX ECONOMIC LOAD DISPATCH PROBLEM

Pages

  41-51

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 OPTIMIZATION/fa?page=1&sort=1&ftyp=all&fgrp=all&fyrs=all" target="_blank"> 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.

Cites

References

Cite

APA: Copy

ASHOURI, MANI, & HOSSEINI, SEYED MEHDI. (2013). APPLICATION OF NEW HYBRID PARTICLE SWARM OPTIMIZATION AND GRAVITATIONAL SEARCH ALGORITHM FOR NON CONVEX ECONOMIC LOAD DISPATCH PROBLEM. JOURNAL OF ADVANCES IN COMPUTER RESEARCH, 4(2 (12)), 41-51. SID. https://sid.ir/paper/328716/en

Vancouver: Copy

ASHOURI MANI, HOSSEINI SEYED MEHDI. APPLICATION OF NEW HYBRID PARTICLE SWARM OPTIMIZATION AND GRAVITATIONAL SEARCH ALGORITHM FOR NON CONVEX ECONOMIC LOAD DISPATCH PROBLEM. JOURNAL OF ADVANCES IN COMPUTER RESEARCH[Internet]. 2013;4(2 (12)):41-51. Available from: https://sid.ir/paper/328716/en

IEEE: Copy

MANI ASHOURI, and SEYED MEHDI HOSSEINI, “APPLICATION OF NEW HYBRID PARTICLE SWARM OPTIMIZATION AND GRAVITATIONAL SEARCH ALGORITHM FOR NON CONVEX ECONOMIC LOAD DISPATCH PROBLEM,” JOURNAL OF ADVANCES IN COMPUTER RESEARCH, vol. 4, no. 2 (12), pp. 41–51, 2013, [Online]. Available: https://sid.ir/paper/328716/en

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