A comprehensive survey on NSGA-II for multi-objective optimization and applications
H Ma, Y Zhang, S Sun, T Liu, Y Shan - Artificial Intelligence Review, 2023 - Springer
In the last two decades, the fast and elitist non-dominated sorting genetic algorithm (NSGA-
II) has attracted extensive research interests, and it is still one of the hottest research …
II) has attracted extensive research interests, and it is still one of the hottest research …
Boosted local dimensional mutation and all-dimensional neighborhood slime mould algorithm for feature selection
The slime mould algorithm (SMA) is a population-based optimization algorithm that mimics
the foraging behavior of slime moulds with a simple structure and few hyperparameters …
the foraging behavior of slime moulds with a simple structure and few hyperparameters …
Parameter adaptation-based ant colony optimization with dynamic hybrid mechanism
In this paper, a parameter adaptation-based ant colony optimization (ACO) algorithm based
on particle swarm optimization (PSO) algorithm with the global optimization ability, fuzzy …
on particle swarm optimization (PSO) algorithm with the global optimization ability, fuzzy …
Multilevel threshold image segmentation for COVID-19 chest radiography: A framework using horizontal and vertical multiverse optimization
H Su, D Zhao, H Elmannai, AA Heidari… - Computers in Biology …, 2022 - Elsevier
COVID-19 is currently raging worldwide, with more patients being diagnosed every day. It
usually is diagnosed by examining pathological photographs of the patient's lungs. There is …
usually is diagnosed by examining pathological photographs of the patient's lungs. There is …
An adaptive differential evolution algorithm based on belief space and generalized opposition-based learning for resource allocation
Differential evolution (DE) algorithm is prone to premature convergence and local
optimization in solving complex optimization problems. In order to solve these problems, the …
optimization in solving complex optimization problems. In order to solve these problems, the …
Multi-strategy particle swarm and ant colony hybrid optimization for airport taxiway planning problem
W Deng, L Zhang, X Zhou, Y Zhou, Y Sun, W Zhu… - Information …, 2022 - Elsevier
As the connecting hub of the airport runways and gates, the taxiway plays a very important
role in the rational allocation and utilization of the airport resources. In this paper, a multi …
role in the rational allocation and utilization of the airport resources. In this paper, a multi …
Simulated annealing-based dynamic step shuffled frog leaping algorithm: Optimal performance design and feature selection
The shuffled frog leaping algorithm is a new optimization algorithm proposed to solve the
combinatorial optimization problem, which effectively combines the memetic algorithm …
combinatorial optimization problem, which effectively combines the memetic algorithm …
Compound fault diagnosis using optimized MCKD and sparse representation for rolling bearings
W Deng, Z Li, X Li, H Chen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The effective separation of fault characteristic components is the core of compound fault
diagnosis of rolling bearings. The intelligent optimization algorithm has better global …
diagnosis of rolling bearings. The intelligent optimization algorithm has better global …
[HTML][HTML] A novel hybrid BPNN model based on adaptive evolutionary Artificial Bee Colony Algorithm for water quality index prediction
L Chen, T Wu, Z Wang, X Lin, Y Cai - Ecological Indicators, 2023 - Elsevier
With the accelerated industrialization and urbanization process, water pollution in rivers is
being increasingly worsened, and has caused a series of ecological and environmental …
being increasingly worsened, and has caused a series of ecological and environmental …
Bearing fault diagnosis using transfer learning and optimized deep belief network
H Zhao, X Yang, B Chen, H Chen… - … Science and Technology, 2022 - iopscience.iop.org
Bearing is an important component in mechanical equipment. Its main function is to support
the rotating mechanical body and reduce the friction coefficient and axial load. In the actual …
the rotating mechanical body and reduce the friction coefficient and axial load. In the actual …