A novel modulation for Adaptive Control Issue-Based Optimization Techniques: Balloon Effect

Abstract

This paper provides a comprehensive discussion of the balloon effect method, which is a new tool for optimization techniques. There exist two broad categories of algorithms called metaheuristics and heuristics that are: evolutionary algorithms and swarm intelligence. The performance of these algorithms relies heavily on the parameters used which need to be broadly tuned during computational experiments to attain eminent performance. The balloon effect idea can assist the optimization algorithms to solve the discrete, constrained, and unconstrained issues and to be more sensitive and trackable during any sudden disturbances. Recently, it has been proposed for adaptively tuning the system parameters for achieving the optimal solution. The main objective of this work is to discuss the idea of the balloon effect and how it can be used for various power system applications. The authors believe that this work shall be helpful for exploring the balloon effect potential on the general audience working for the optimization in different aspects.