An antigravity-based fuzzy Gravitational Search Algorithm for economic dispatch problems

This paper presents an antigravity-based fuzzy Gravitational Search Algorithm (AFGSA) to solve the economic dispatch problem (EDP) with various constraints. Based on an antigravity mechanism combined with an adaptive fuzzy parameter controller AFGSA is designed. By doing so, it ensures a proper balance between exploration and exploitation of GSA. Furthermore, the simulated annealing (SA) process is introduced to control the application of anti-gravitation forces and guarantee the convergence rate. A fuzzy optimizing system is applied to adaptively control the parameters in GSA. The success of the suggested algorithm is firstly shown in eight various test EDPs including static and dynamic economic load problems as well as hydrothermal scheduling problems by varying the complex constraints. Then, the efficiency of the proposed optimizer is validated through ten CEC2020 test functions. The performance of AFGSA is verified by comparison with numerous state-of-the-art techniques. The experimental results show that AFGSA provides a more competing and robust solution to the EDPs than the compared algorithms.