The ABC algorithm is one of the popular optimization algorithms and has been used
successfully in solving many real-world problems. Numeric, binary, integer, mixed integer …

This review aims to exploit a study on different benchmark test functions used to evaluate the
performance of Meta-Heuristic (MH) optimization techniques. The performance of the MH …

Adam is an adaptive gradient descent approach that is commonly used in back-propagation
(BP) algorithms for training feed-forward neural networks (FFNNs). However, it has the …

Many evolutionary computation (EC) methods have been used to solve feature selection
problems and they perform well on most small-scale feature selection problems. However …

This study introduces the extension of currently developed Seagull Optimization Algorithm
(SOA) in terms of multi-objective problems, which is entitled as Multi-objective Seagull …

Aiming at the problem that the most existing fault diagnosis methods could not effectively
recognize the early faults in the rotating machinery, the empirical mode decomposition, fuzzy …

Nowadays, the use of metaheuristic algorithms has dramatically increased in order to
achieve the optimal solution in solving continuous optimization problems. In this paper, a …

Grey wolf algorithm (GWO) is a classic swarm intelligence algorithm, but it has the
disadvantages of slow convergence speed and easy to fall into local optimum on some …

Recently, convolutional neural networks (CNNs) have achieved great success in the field of
artificial intelligence, including speech recognition, image recognition, and natural language …

Gate is a key resource in the airport, which can realize rapid and safe docking, ensure the
effective connection between flights and improve the capacity and service efficiency of …