A Comprehensive Study on a Meta Heuristics Optimization Algorithm- Hybridized Mayfly Algorithm
B Ravi Chandra, Krishan Kumar · 2022 6th International Conference on Trends in Electronics and Informatics (ICOEI) · 2022
Several optimization techniques have been proposed to solve the optimization problem. This study introduces a novel method known as the Mayfly algorithm (MA), which is one of the swarm optimization algorithms. Every problem in the environment has an answer at its core. Based on this, researchers in the present day are preparing one another for the intelligence of nature. Given that the Mayfly Algorithm (MA) was recently introduced in the year 2020. The proposed algorithm is based on the process of mayflies mating and flying behaviour with the key benefits of both the evolutionary algorithm and swarm optimization. This mayfly algorithm is introduced as a result of the PSO's good hybridization and superior algorithm with the structure of genetic algorithm and firefly algorithm. According to several research studies, the Mayfly algorithm outperforms other prominent Metaheuristic algorithms. The exceptional performance of mayfly algorithm is demonstrated by comparing the results in terms of the rate of convergence speed. This article will be a great resource for book reviewers to gain good understanding on the upcoming advanced Mayfly algorithm in which a lot of debate has been done on both the sides by analyzing its implementations, applications, and recent advancements for enhancing the proposed Mayfly algorithm enforced by the researcher.