… This paper presents a Differential Evolution algorithm with self-adaptive trial vector
generation strategy and control parameters (SspDE) for global numerical optimization over …

… Differential Evolution (DE) are studied with the intent of determining if their schemes for adapting
… basic form of DE which keeps the control parameters fixed during optimization. To fairly …

… parameter adaptation by considering a complete set of pairs of F and CR values. Such
advantages for both parameter and mutation adaptation … adaptive Differential Evolution algorithms …

… a parameter adaptation technique based on GaA to manage the dependencies between the
two parameters (… The proposed adaptation technique is used to improve the performance of …

… Differential Evolution (DE) is arguably one of the most powerful stochastic real-parameter
optimization algorithms of current interest. DE operates through the similar computational steps …

… In this paper, we propose a parameter adaptation technique based on Gaussian Adaptation
… ), to manage the dependencies between the two parameters (mutation scale factor, F, and …

… , not all the DE parameters were adapted in a single algorithm, and … parameter adaptation
method for the solution of constrained optimization problems. By virtue of adaptive parameter …

… Since the search efficiency of DE depends significantly on its control parameter … parameter
adaptation technique for DE which uses a historical memory of successful control parameter …

… In this paper, we presented the plausibility of integrating a strategy adaptation mechanism
with a parameter adaptation mechanism. Given fixed control parameter settings, we first …

… Paper considers adaptation of control parameters in differential evolution. Adaptation by
competitive setting is described and two novel variants of competitive differential evolution are …