Economic Load Dispatch Problem Based on Search and Rescue Optimization Algorithm

The Search and Rescue optimization algorithm (SAR) is a recent metaheuristic inspired by the exploration’s behaviour for humans throughout search rescue processes. SAR applied to solve Combined Emission Economic Dispatch (CEED) Load (ELD). comparative performance of against several methods was performed assess its reliability. These algorithms include Earthworm (EWA), Grey wolf optimizer (GWO), Tunicate Swarm Algorithm (TSA) Elephant Herding Optimization (EHO) same two networks study. Also, proposed method compared with other literature such as Sine Cosine algorithm, Monarch butterfly optimization, Artificial Bee Colony, Chimp Algorithm, Moth algorithm. cases in this work are seven cases: three 6-unit ELD issue, CEED issue 10-unit problem. evaluation counterparts 30 different runs based on measuring Friedman rank test robustness curves. Furthermore, standard deviation, maximum objective function, minimum, mean values over statistical analysis all used techniques. obtained results proved superiority determining fitness function minimizing cost fuel emission costs CEED.