eng Science and Education Publishing American Journal of Electrical and Electronic Engineering 2328-7357 2015-04-19 3 2 44 50 10.12691/ajeee-3-2-4 AJEEE2015324 article P. K. Hota p_hota@rediffmail.com 1 N. C. Sahu 2 Department of Electrical Engineering Depart, Veer Surendra Sai University of Technology (VSSUT), Burla, India Department of Electrical Engineering, ITER, SOA University, Bhubaneswar, India A robust and reliable algorithm called as fuzzy based gravitational search algorithm has been developed for solution of the security constrained economic and environmental load dispatch (EED) problems. A fuzzy maximizing decision approach using gravitational search algorithm (GSA) is applied to a six-unit thermal power test system to obtain the best compromising solution. The usefulness and quality of the proposed algorithm is demonstrated through its application to the test system in terms of convergence speed, solution time and minimum operating cost. The obtained results from the proposed algorithm confirm the effectiveness and potential of the promising proposed algorithm compared to conventional method, real coded genetic algorithm (GA), hybrid GA and PSO methods, performed in different central load dispatch centers to solve multi-objective generation dispatch problems. http://pubs.sciepub.com/ajeee/3/2/4/ajeee-3-2-4.pdf security constraints economic environmental load dispatch fuzzy decision making function gravitational search algorithm compromise factor