In order to overcome the low solution efficiency, insufficient diversity in the later search
stage, slow convergence speed and a high search stagnation possibility of differential …

In recent years, methods for detecting motor bearing faults have attracted increasing
attention. However, it is very difficult to detect the faults from weak motor bearing signals …

In order to overcome the slow convergence speed, poor global search ability and difficult
designing rotation angle of quantum-inspired evolutionary algorithm (QEA), an improved …

To improve the accuracy and generalization ability of hyperspectral image classification, a
feature extraction method integrating principal component analysis (PCA) and local binary …

In this paper, a novel multi-population parallel co-evolutionary differential evolution, named
MPPCEDE, is proposed to optimize parameters of photovoltaic (PV) models and enhance …

In this study, an application of green preservation technology to obtain optimal pricing and
replenishment policies is developed. The decreasing value in waste is considered along …

Reliability analysis is critical to the study of uncertain dynamic systems under noise
excitation. This paper focuses on the uncertain fractional-order multi-objective optimization …

This paper mainly studies the pricing problem of arithmetic average Asian barrier options in
the continuous case and analyzes the corresponding reliability index. Owing to the fact that …

This paper develops a novel adaptive dynamic programming (ADP)-based model-free policy
iteration (PI) algorithm to solve an infinite-horizon continuous-time linear quadratic …

Chance theory is a useful tool to deal with the analysis of indeterminacy, including both
uncertainty and randomness. Based on chance theory, an optimal control for uncertain …