Mountaineering Team-Based Optimization Technique to Solve Economic Load Dispatch Problem

Abstract

Abstract Economical load dispatch (ELD) and combined economic emission dispatch (CEED) problems are solved using optimization approaches. In order to handle ELD and CEED problems, a novel metaheuristic optimization technique based on human intelligence called the mountaineering team based optimization (MTBO) algorithm is projected in this paper. The MTBO method implemented based on the human cooperation and social behaviour taking into account the usual occurrences to reach a mountain top, this represents the finest overall solution. The projected MTBO method is utilised to address optimisation problems. This approach involves analysing the stages of regular and climbing movements, which are based on the leader's experience, the obstacles encountered during the ascent, and the risk of being trapped in local optimum performance. Additionally, the group's coordination and social support are considered to safeguard members from common catastrophes. To evaluate the efficiency of the suggested method, considered six cases for the ELD problem and four cases for a CEED problem. Along with the MTBO, other optimization techniques like flower pollination algorithm (FPA), ant lion optimization (ALO) and grey wolf optimization (GWO) methods are used to solve ELD and CEED problem. The MTBO method outperforms the competition in terms of robustness, ease of implementation, effective optimization performance for a optimal global solutions.