Quantum-inspired differential evolution (QDE) is an evolutionary algorithm, which can
effectively solve complex optimization problems. However, sometimes, it easily leads to …

With the continuous and rapid growth of air traffic demand, gate resource becomes a major
bottleneck restricting airport development. Rational gate allocation is regarded as one of the …

The selection of the mutation strategy for differential evolution (DE) algorithm plays an
important role in the optimization performance, such as exploration ability, convergence …

Deep belief network (DBN) is one of the most representative deep learning models.
However, it has a disadvantage that the network structure and parameters are basically …

The optimization performance of differential evolution (DE) algorithm significantly depends
on control parameters and mutation strategy. However, it is difficult to set suitable control …

In this paper, an effective improved co-evolution ant colony optimisation (MSICEAO)
algorithm is presented to solve complex optimisation problem. In the MSICEAO, the multi …

Broad Learning System (BLS) are widely used in many fields because of its strong feature
extraction ability and high computational efficiency. However, the BLS is mainly used in …

In the case of a smart home, the ability to recognize daily activities depends primarily on the
strategy used for selecting the appropriate features related to these activities. To achieve the …

Human activity recognition (HAR) is an emerging area of study and research field that
explores the development of automated systems to identify and categorize human activities …

Performance prediction is significant to monitor the health status of rolling bearings, which
can greatly reduce the loss caused by potential faults in the whole life cycle of rolling …