Bio-Inspired Optimization for Medical Data Mining

7Exploring the Potential of Dingo Optimizer: A Promising New Metaheuristic Approach

Anju Yadav and Vivek Kumar Verma*

Dept. of IT, Manipal University Jaipur, Jaipur, India

Abstract

A newly created metaheuristic algorithm called the dingo optimizer draws its ideas from the behaviors and feeding habits of dingoes in the wild. When using classic optimization techniques to solve complex optimization issues, this approach excels. The program uses a series of mathematical equations that simulate dingo behavior in the wild to find the best solutions to a variety of optimization challenges. The dingo optimizer has demonstrated promising results in several applications, including engineering design, financial forecasting, and bioinformatics. The algorithm is rather simple to implement and has the potential to be a useful tool for researchers and practitioners in a wide range of domains.

Keywords: Dingo optimized, genetic algorithm, particle swarm optimization

7.1 Introduction

Dingo Optimizer is a new metaheuristic algorithm that has gained significant attention from researchers and practitioners in recent years. The program, which is based on dingo behavior in the wild, has demonstrated promising results in handling challenging optimization problems that are outside the scope of more conventional approaches. Dingo Optimizer is a metaheuristic algorithm that has shown great potential in solving complex optimization problems [1–3]. While the algorithm has its limitations, it has