Novel Gradient-Based Optimizer: A Case Study on Economic Load Dispatch Problem

The Gradient-Based Optimizer (GBO) is newly invented metaheuristic optimization algorithm based on Newton's based method. In this paper, novel gradient-based optimizer is proposed based on Levy-Assisted and Opposition Based Strategy (LEOBGBO- Levy Enhanced Opposition Based GBO). Proposed optimizer also utilizes gradient search rule and local escaping operator as original GBO. Newly proposed optimizer is applied for solving standard benchmark functions as well as Economic Load Dispatch (ELD) problem. The performance of the proposed metaheuristic is compared with other state of the art algorithms. Performance analysis proves the superiority of proposed optimizer over other algorithms for benchmark function as well as ELD.