New Crow Search Algorithm for Economic Load Dispatch Resolution vs. the Time-Proven BAT Algorithm

Abstract

Aim: This research compares the crow search algorithm (CSA) to the cutting-edge BAT algorithm in an effort to lower the overall economic cost of generating (BA). Substances and Techniques: From a pool of data including information on 10 power plants, we select 20 representative samples. Clinical data with two groups (alpha = 0.05, power = 80%) is used to determine the G power for samples. The effectiveness of the new BAT algorithm is measured by its total generation cost. The average cost is 329210.4 US dollars cheaper when using the novel BAT algorithm instead of the crow search technique (524036.6 USD). The results of this research show that the revolutionary BAT algorithm outperforms the crow search algorithm by a wide margin.