Quasi Oppositional Population Based Polar Bear Optimization Algorithm for Solution of Economic Dispatch Problem

摘要

In this paper Economic Dispatch (ED) problem is solved by a novel Quasi population-based variant of Polar Bear Optimization (QPBO) algorithm. This algorithm is applied to solve both convex and non-convex systems. PBO is a nature inspired meta heuristic optimization algorithm having inherent strengths of population-based strategies. Like all population-based approaches PBO achieves near optimum results. Enhancing the working of PBO with quasi population strategy is expected to improve its global convergence rate. The effectiveness of QPBO is tested on four IEEE test systems and the results obtained are compared with other techniques already available in literature. Comparison of results proved QPBO success in reducing cost and at a better convergence rate as compared to other techniques.