Mayfly algorithmNature-inspired algorithmOptimizationThis paper introduces a new method called the Mayfly Algorithm (MA) to solve optimization problems. Inspired from the flight behavior and the mating process of mayflies, the proposed algorithm combines major advantages of swarm intelligence and ...
3.1. The traditional mayfly optimization algorithm This algorithm includes the combination of features of PSO, GA, and firefly algorithm (FA). Adopting and improving the global search of PSO, the MA is a hybrid optimization algorithm with high efficiency, which models the mating pattern of mayfli...
A swarm intelligence algorithm usually iterates many times to approximate the optimum to obtain the solution of a problem. The maximum iteration is influen
Zervoudakis K, Tsafarakis S (2020) A mayfly optimization algorithm. Comput Ind Eng 145:106559 Google Scholar Rana N, Latiff MSA, Abdulhamid SM, Chiroma H (2020) Whale optimization algorithm: a systematic review of contemporary applications, modifications and developments. Neural Comput Appl 32...
"A mayfly optimization algorithm." Computers & Industrial Engineering, 145, 106559. doi:10.1016/j.cie.2020.106559 Meerkats: Klein CE, dos Santos Coelho L (2018). "Meerkats-inspired Algorithm for Global Optimization Problems." In Proceedings of the European Symposium on Artificial Neural Networks, ...
Moreover, in43, an adaptive simulated annealing particle swarm optimization algorithm (ASAPSO) was introduced for the multi-objective optimal scheduling of microgrids incorporating electric vehicles. The objective functions considered were operational cost and emissions. To strike a better balance between ...
networks, the results do not improve much, so we can deduce that this metaheuristic method is not recommended (for the moment) for this type of optimization, due to the fact that the root mean square error did not get below 0.001 even using the modified Mayfly algorithm with the fuzzy ...
are: cooperative Genetic Algorithm (CGA)27, Late Acceptance Hill-Climbing (BBA-LAHC)28, hybridization of Mayfly algorithm (MA) and HS named as MA-HS algorithm29, hybridization of GA with PSO and Ant Colony Optimization (ACO) algorithm30, clustering-based equilibrium and ant colony optimization ...
Optimization Algorithm, Mayfly Algorithm, and Salp Swarm Algorithm. According to Friedman and Wilcoxon rank-sum tests, SCO can significantly outperform all other algorithms for the majority of the investigated problems. The results achieved by SCO motivates the design and development of new single-...
3.3 Mayfly optimization algorithm (MOA) The mayfly optimization (Zhao and Gao 2020) techniques are mainly used to solve feature selection problems, and this method is developed based on the mating process of mayflies (i.e. insects). The essential characteristic of this technique is that it inco...