… the selection of … strategy selection: two different techniques, namely Probability Matching
and Adaptive Pursuit, are employed in DE to autonomously select the most suitable strategy …

… strategy selection for different problems. Four credit assignment methods, that reward each
strategy … The results confirm that our approach is able to efficiently select which strategy …

… In this paper, a novel differential evolution (DE) algorithm is … strategy is developed by using
two mixed mutation strategies with … Finally, a diversity-based selection strategy is designed by …

… Differential evolution has started to attract a lot of attention as … new feature selection method
that utilizes differential evolution in a … with some of the well-known feature selection methods. …

… Hence, adaptively selecting a suitable strategy for a certain evolution stage according to
the current experience can improve the DE algorithm's performance. Obviously, the …

Since its inception in 1995, Differential Evolution (DE) has emerged as one of the most
frequently used algorithms for solving complex optimization problems. Its flexibility and versatility …

… Differential evolution (DE) is a popular evolutionary algorithm inspired by Darwin’s theory of
evolution and has … We analysed the selected articles to obtain important information such as …

… pool size and the selection of strategies to form the strategy pool until now [11]. In order
to select different mutation strategies to form the strategy pool, in this paper, we choose four …

… investigate the self-adaptive selection of trial vector generation strategy in SaDE algorithm,
… different strategies’ probabilities as the evolution progresses. As we know that the strategy “…

… selection operation is one of the factors affecting the performance of differential evolution (DE)
… address the improvement of survivor selection operations. Most DE algorithms use greedy …