A Study on Climate Change with Mayfly Algorithm Optimization
2021
Mayfly algorithm (MA) is an optimal way to achieve this goal.It is a newly developed algorithm that combines the key benefits of PSO, GA and FA, resulting in a hybrid of PSO-GA-FA.Compared with the other seven transformation methods, the performance evaluation performed using the CEC test operations demonstrates the dominance of MA in terms of accumulation rate and velocity.Although this requires rapid integration, it is not yet used in many engineering optimization fields, so we propose to use it for antenna optimization tasks.Predictions for the next century 15 to 95 Cm, the 50 cm 'best estimate' indicates a significant increase in sea level rise over the last century, with records from both the Atlantic and the Pacific in the Northern Hemisphere showing sea increase.However, in most cases, of some sites This condition is reduced due to surface resurfacing or regeneration.Rise is the height of the average level of the ocean surface and the increase in wavelength around it.The mayfly optimization algorithm (MOA) was proposed with a better hybridization of the particle swarm optimization (PSO) and the differential evolution (DE) algorithms.The velocity would be relevant to the Cartesian distance among the relevant individuals.