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A twinning bare bones particle swarm optimization algorithm
J Guo, B Shi, K Yan, Y Di, J Tang, H ** operator (TGO) and …
Differential evolution algorithm with population knowledge fusion strategy for image registration
Y Sun, Y Li, Y Yang, H Yue - Complex & Intelligent Systems, 2022 - Springer
Image registration is a challenging NP-hard problem within the computer vision field. The
differential evolutionary algorithm is a simple and efficient method to find the best among all …
differential evolutionary algorithm is a simple and efficient method to find the best among all …
Multimodal Transport Scheme Optimization and Capacity Allocation Considering Customer Classification
B Han, Y Chi, Y Xu, Y Park - IEEE Transactions on Intelligent …, 2025 - ieeexplore.ieee.org
Although multimodal transport has been widely developed, the multimodal transport
operation system is still not as mature as other single modes of transport. Currently, the …
operation system is still not as mature as other single modes of transport. Currently, the …
An Improved Bare Bones Particle Swarm Optimization Algorithm based on Sequential Update Mechanism and a Modified Structure
The past three decades have witnessed the rapid development of nature-inspired
algorithms. Among these, population-based optimization algorithms have gained significant …
algorithms. Among these, population-based optimization algorithms have gained significant …
Solving power system economic dispatch problem based on genetic algorithm
Y Ren - Journal of Physics: Conference Series, 2020 - iopscience.iop.org
With the rapid development of the world economy, the demand for power load is also
growing rapidly. The power system economic dispatch problem studied in this paper is to …
growing rapidly. The power system economic dispatch problem studied in this paper is to …
A Method for Data Fitting Based on BPSO-RBF Neural Network
Y Ren - Proceedings of the 2020 2nd International Conference …, 2020 - dl.acm.org
Data fitting is a common problem in engineering field. RBF neural network is a kind of feed
forward neural network, which can approximate arbitrary nonlinear function with arbitrary …
forward neural network, which can approximate arbitrary nonlinear function with arbitrary …
Intelligent Computing for Image Segmentation
R Li - 2020 - unsworks.unsw.edu.au
As a crucial component in digital image processing, segmentation partitions the image into
multiple smaller regions, which allows faster processing in later stages, such as object …
multiple smaller regions, which allows faster processing in later stages, such as object …