Adaptive differential evolution with a new joint parameter adaptation method

Developing Adaptive Differential Evolution as a New Evolutionary Algorithm, Application in Optimization of Chemical Processes

Differential Evolution with Population and Strategy Parameter Adaptation

Differential evolution (DE) is simple and effective in solving numerous real-world global optimization problems. However, its effectiveness critically depends on the appropriate setting of population size and strategy parameters. Therefore, to obtain optimal performance the time-consuming preliminary tuning of parameters is needed. Recently, different strategy parameter adaptation techniques, w...

Parameter adaptation for differential evolution with design of experiments

Optimal settings for control parameters of the Differential Evolution algorithm depend on the considered optimization problem and may also change during an optimization run. In this work an approach is suggested that adaptively controls the parameters F and CR that influence the mutation and recombination processes in Differential Evolution. By application of Design of Experiments methods signi...

An Efficient Binary Differential Evolution with Parameter Adaptation

Differential Evolution (DE) has been applied to many scientific and engineering problems for its simplicity and efficiency. However, the standard DE cannot be used in a binary search space directly. This paper proposes an adaptive binary Differential Evolution algorithm, or ABDE, that has a similar framework as the standard DE but with an improved binary mutation strategy in which the best indi...

Adaptive Parameter Selection for Strategy Adaptation in Differential Evolution for Continuous Optimization

In order to automatically select the most suitable strategy for a specific problem without any prior knowledge, in this paper, we present an adaptive parameter selection technique for strategy adaptation in differential evolution (DE). First, a simple strategy adaptation mechanism is employed to implement the adaptive strategy selection in DE. Then, the probabilitymatching-based adaptive parame...