Mugdha Udgir

Work place: Department of Electrical Engineering, Madhav Institute of Technology & science Gwalior, India



Research Interests:


Mugdha udgir obtained her B.E. degree in Electrical Engineering from MPCT, Gwalior (India) in 2009. She is presently doing M.E. in Industrial Systems and Drives (ISD) from M.I.T.S., Gwalior, (India).

Author Articles
Economic Load Dispatch by Hybrid Swarm Intelligence Based Gravitational Search Algorithm

By Hari Mohan Dubey Manjaree Pandit B.K. Panigrahi Mugdha Udgir

DOI:, Pub. Date: 8 Jul. 2013

This paper presents a novel heuristic optimization method to solve complex economic load dispatch problem using a hybrid method based on particle swarm optimization (PSO) and gravitational search algorithm (GSA). This algorithm named as hybrid PSOGSA combines the social thinking feature in PSO with the local search capability of GSA. To analyze the performance of the PSOGSA algorithm it has been tested on four different standard test cases of different dimensions and complexity levels arising due to practical operating constraints. The obtained results are compared with recently reported methods. The comparison confirms the robustness and efficiency of the algorithm over other existing techniques.

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