L-SHADE optimization algorithms with population-wide inertia

Numerous Differential Evolution algorithms (DE) have been proposed during last twenty years for numerical optimization problems. Recently a number of successful history-based adaptive DE variants with linear population size reduction (L-SHADE) have been considered among the most efficient Evolutionary Algorithms. Various L-SHADE algorithms become the winners of numerous IEEE CEC competitions. In this study we show that the performance of L-SHADE...