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AEFFA Association of Educational Federal Finance Administrators AEFFA
AEFA: Artificial electric field algorithm for global optimization The proposed AEFA has been tested over a newly and challenging state-of-the-art optimization problems The theoretical convergence of the proposed AEFA is also established along with statistical validation and comparison with recent state-of-the-art optimization algorithms
A Comprehensive Survey on Artificial Electric Field Algorithm . . . In this figure, it is evident that AEFA has been applied to various types of optimization problems, incorporating modifications to velocity, position, and parameters While AEFA has demonstrated versatility, there are still several areas that remain unexplored by AEFA and or its variants
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Artificial Electric Field Algorithm (AEFA) - MQL5 Articles The article presents an artificial electric field algorithm (AEFA) inspired by Coulomb's law of electrostatic force The algorithm simulates electrical phenomena to solve complex optimization problems using charged particles and their interactions
A Novel Artificial Electric Field Algorithm for Solving . . . To overcome these challenges, this paper introduces a modified version of AEFA, named mAEFA, which leverages the capabilities of Lévy flights, simulated annealing, and the Adaptive s -best Mutation and Natural Survivor Method (NSM) mechanisms
Artificial Electric Field Algorithm for Optimization - Medium Artificial Electric Field Algorithm in short ‘AEFA’ is an artificially intelligent optimization algorithm for mathematical optimization, it is inspired by the Coulomb’s law of electrostatic