Performance evaluation of metaheuristic optimization methods with mutation operators for combined economic and emission dispatch

This paper solves the combined economic and emission dispatch (CEED) problem which aims to achieve minimum generating costs with emission reduction using different optimization methods. Six methods are discussed: moth-flame optimization (MFO), moth swarm algorithm (MSA), grey wolf optimization (GWO), antlion optimization (ALO), sine cosine algorithm (SCA), and multi-verse optimization (MVO). Different mutation operators are integrated to these methods to improve their performance. Two test systems are simulated, and the results are compared to see the effectiveness of applying mutation operators to the optimization methods.