Results 11 to 20 of about 157 (125)

Joint optimization of vessel scheduling and tugboat allocation in seaports with one-way navigation channels

Frontiers in Marine Science
With the continuous growth of port traffic volumes, limited navigation channel capacity and tugboat resources have emerged as major bottlenecks to port service efficiency, particularly in ports with one-way channel configurations, where vessel congestion
Fuquan Xu, Hongxiang Ren, Ye Li, Jiahui Shi, Changhai Wang, Changhai Wang, Yulong Wang, Yulong Wang, Xinjian Wang   +8 more
doaj   +2 more sources

Simulated Annealing‐Based Ant Colony Algorithm for Tugboat Scheduling Optimization [PDF]

Mathematical Problems in Engineering, 2012
As the “first service station” for ships in the whole port logistics system, the tugboat operation system is one of the most important systems in port logistics. This paper formulated the tugboat scheduling problem as a multiprocessor task scheduling problem (MTSP) after analyzing the characteristics of tugboat operation. The model considers factors of
Xu, Qi, Mao, Jun, Jin, Zhihong
openaire   +1 more source

Considering spatiotemporal evolutionary information in dynamic multi‐objective optimisation

CAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract Preserving population diversity and providing knowledge, which are two core tasks in the dynamic multi‐objective optimisation (DMO), are challenging since the sampling space is time‐ and space‐varying. Therefore, the spatiotemporal property of evolutionary information needs to be considered in the DMO.
Qinqin Fan, Min Jiang, Wentao Huang, Qingchao Jiang   +3 more
wiley   +1 more source

Evaluation of Digital Technologies for Home‐Based Assessment in People With Amyotrophic Lateral Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Digital technologies hold promise for transforming healthcare by enhancing personalized treatments and offer valuable opportunities to improve patient care. Here, we evaluated several novel, self‐administered, home‐based, digital endpoints for their association with corresponding conventional standard clinical measures (primary) in ...
Arne Mueller, Vanessa Vallejo, Mónica Povedano Panadés, Orla Hardiman, Véronique Danel‐Brunaud, Senda Ajroud‐Driss, Philippe Couratier, Jeremy Shefner, Anna Gokey, Mike DiCesare, Erin Lennox, Jens Praestgaard, Lucie Brujin, Peggy Allred, Ram Miller   +14 more
wiley   +1 more source

From Heuristics to Multi-Agent Learning: A Survey of Intelligent Scheduling Methods in Port Seaside Operations

Mathematics
Port seaside scheduling, involving berth allocation, quay crane, and tugboat scheduling, is central to intelligent port operations. This survey reviews and statistically analyzes 152 academic publications from 2000 to 2025 that focus on optimization ...
Yaqiong Lv, Jingwen Wang, Zhongyuan Liu, Mingkai Zou   +3 more
doaj   +1 more source

Swelling‐Programmed Topographical Guidance for Dynamic Spheroid Self‐Assembly via a Mechanochemical Hydrogel Niche

Advanced Functional Materials, EarlyView.
A swelling‐programmed micropatterned hydrogel guides adherent cells through a controlled transition from cell–matrix anchoring to cadherin‐mediated cell–cell compaction, enabling rapid assembly of high‐viability spheroids with defined size and morphology.
Han Gyeol Nam, Seon Yeong Chae, Young Woo Kwon, Hye Jin Heo, Hye Rin Lee, Ji Hyeok Lee, Dong‐Wook Han, Yun Hak Kim, Suck Won Hong   +8 more
wiley   +1 more source

Intelligent Multi-Objective Tugboat–Barge Scheduling for Inland Waterway Operations Using Generative Adversarial Learning and Reinforcement-Based Optimization

IEEE Open Journal of Intelligent Transportation Systems
Tugboat–barge coordination in inland waterway transportation presents critical multi-objective optimization challenges due to interdependent constraints including fleet capacity, operational costs, dynamic tidal conditions, and temporal ...
Rapeepan Pitakaso, Kanchana Sethanan, Thanatkij Srichok, Kongkidakhon Worasan, Kuo-Jui Wu   +4 more
doaj   +1 more source

Smart Nanotechnologies for Multimodal Neuromodulation and Brain Interfacing

Advanced Science, EarlyView.
Recent advances in smart nanotechnologies are expanding the toolbox for brain interfacing, from wireless neuromodulation and high‐resolution sensing to targeted delivery within the central nervous system. By combining responsive nanomaterials with bioinspired design, these platforms enable multimodal interactions with neurons and glia, while also ...
Tommaso Curiale, Marie Celine Lefevre, Alessio Carmignani, Maria Cristina Ceccarelli, Matteo Battaglini, Attilio Marino, Gianni Ciofani   +6 more
wiley   +1 more source

An Improved Discrete PSO for Tugboat Assignment Problem under a Hybrid Scheduling Rule in Container Terminal [PDF]

Mathematical Problems in Engineering, 2014
In container terminal, tugboat plays vital role in safety of ship docking. Tugboat assignment problem under a hybrid scheduling rule (TAP‐HSR) is to determine the assignment between multiple tugboats and ships and the scheduling sequence of ships to minimize the turnaround time of ships.
Wang, Su, Zhu, Min, Kaku, Ikou, Chen, Guoyue, Wang, Mingya   +4 more
openaire   +1 more source

Targeting the ATX‐LPA Axis Overcomes TKI Resistance and Immunosuppression in Renal Cell Carcinoma via Dual Inhibition of AKT/mTOR and TBK1/IRF3 Pathways

Advanced Science, EarlyView.
ABSTRACT Background Therapeutic resistance limits durable survival in advanced/metastatic renal cell carcinoma (RCC) treated with first‐line tyrosine kinase inhibitor (TKI) plus immune checkpoint inhibitor (ICI). We sought to define key resistance drivers and actionable targets.
Jinchen Luo, Hansen Lin, Haoqian Feng, Lei Tan, Xi Liu, Yong Huang, Junjie Cen, Jiajie Chen, Xinwei Zhou, Mingjie Lin, Wuyuan Liao, Zheyu Ai, Minyu Chen, Yinghan Wang, Wei Chen, Junhang Luo, Yanping Liang   +16 more
wiley   +1 more source