An improved loop subdivision to coordinate the smoothness and the number of faces via multi-objective optimization
Abstract 3D mesh subdivision is essential for geometry modeling of complex surfaces, which
benefits many important applications in the fields of multimedia such as computer animation …
benefits many important applications in the fields of multimedia such as computer animation …
A self-adaptive multi-objective feature selection approach for classification problems
In classification tasks, feature selection (FS) can reduce the data dimensionality and may
also improve classification accuracy, both of which are commonly treated as the two …
also improve classification accuracy, both of which are commonly treated as the two …
[HTML][HTML] A review of research on public transport priority based on CiteSpace
G Cheng, X Liu, Y Pei - Journal of traffic and transportation engineering …, 2023 - Elsevier
The prioritization of public transit as an essential means of promoting sustainable urban
development has a significant role in improving the quality of public transportation services …
development has a significant role in improving the quality of public transportation services …
Reliability-based equitable transit frequency design
Y Jiang - Transportmetrica A: Transport Science, 2022 - Taylor & Francis
Fairness is an important criterion for achieving sustainable urban development. While most
existing studies focus on accessing or evaluating the fairness condition of a given transit …
existing studies focus on accessing or evaluating the fairness condition of a given transit …
Designing metro network expansion: Deterministic and robust optimization models
The design and construction of metro networks are typically conducted in stages due to the
ongoing growth of urbanization and investment in public transportation systems. Designing …
ongoing growth of urbanization and investment in public transportation systems. Designing …
City metro network expansion with reinforcement learning
City metro network expansion, included in the transportation network design, aims to design
new lines based on the existing metro network. Existing methods in the field of transportation …
new lines based on the existing metro network. Existing methods in the field of transportation …
City metro network expansion based on multi-objective reinforcement learning
This manuscript focuses on investigating the metro network expansion problem, which is
formulated as a Markov Decision Process and addressed using a sequential station …
formulated as a Markov Decision Process and addressed using a sequential station …
MetroZero: Deep Reinforcement Learning and Monte Carlo Tree Search for Optimized Metro Network Expansion
K Alkilane, DH Lee - IEEE Transactions on Intelligent …, 2024 - ieeexplore.ieee.org
Metro networks necessitate continuous expansion, either extending existing lines or
constructing new ones. Optimizing this process, however, presents multifaceted challenges …
constructing new ones. Optimizing this process, however, presents multifaceted challenges …
Equity-aware cross-graph interactive reinforcement learning for bike station network expansion
Thanks to advances in the urban big data, the bike sharing, especially station-based bike
sharing, has emerged as the important first-/last-mile connectivities in many smart cities …
sharing, has emerged as the important first-/last-mile connectivities in many smart cities …
A scenario model for enhancing the resilience of an urban rail transit network by adding new links
Adding new links to an existing urban rail transit (URT) network helps improve its operations
by shortening passenger travel time under normal operations and disruptions. However …
by shortening passenger travel time under normal operations and disruptions. However …