Dual preferred learning embedded asynchronous differential evolution with adaptive parameters for engineering applications
Balance in exploration and exploitation is the basic requirement of any optimization
algorithm, lack of which can easily lead to premature convergence of algorithm …
algorithm, lack of which can easily lead to premature convergence of algorithm …
Calibration of Optimal Trigonometric Probability for Asynchronous Differential Evolution
Parallel optimization and strong exploration are the main features of asynchronous
differential evolution (ADE). The population is updated instantly in ADE by replacing the …
differential evolution (ADE). The population is updated instantly in ADE by replacing the …