… , this paper proposed a fuzzy adaptive differential evolution algorithm (FADE) for identifying
the … The main work of this paper is as follows: firstly, the differential evolutionary algorithm is …

… algorithm, called hybrid adaptive differential evolution (HADE). It adopts a new kind of
parameter adaptive strategy to meet the algorithm in different evolution stages for the needs of …

… In this paper, a new version of differential evolution (DE) with adaptive mutation factor has
been proposed for solving complex optimization problems. The proposed algorithm uses fuzzy …

… Abstract—This paper presents a fuzzy adaptive differential evolution (DE) for 3D UAV path
planning. The path-planning problem is formulated as a multi-objective unconstrained opti…

… This paper proposes the application of a novel Fuzzy Adaptive Differential Evolution (FADE)
algorithm for the tuning of a fuzzy controller for the improvement of the synthetic inertia …

… Differential evolution (DE) algorithm has been shown to be a very effective and efficient
approach for solving global numerical optimization problems, which attracts a great attention of …

… effectiveness of fuzzy adaptive sorting variation strategy in improving algorithm search
performance, this paper replaces the proposed algorithm FASMMDE fuzzy adaptive sort variation …

… a multi-objective function using a modified differential evolution algorithm (MDEA). The
proposed … of the differential evolution algorithm through updating the self-adaptive scaling factor, …

… Based on the above analysis, this paper presents a self-adaptive mutation DE algorithm
based on PSO (DEPSO). In the early stage of the evolution, DEPSO has good population …

… , the fuzzy model parameters are optimally identified with a differential evolution algorithm. …
, we propose an adaptive fuzzy control algorithm with an optimal fuzzy model which was …