Results 91 to 100 of about 10,453,390 (281)

Adaptive Simulated Annealing and Adaptive Large Neighborhood Search Algorithm for Solving Container Loading Problem: A Case Study [PDF]

International Journal of Industrial Engineering and Production Research
Adaptive Simulated Annealing (ASA) and Adaptive Large Neighborhood Search (ALNS) are two metaheuristic algorithms widely applied to solve discrete optimization problems. This study employs both algorithms to address the Container Loading Problem (CLP), a
Wahyu Kurniawan, Achmad Pratama Rifai, Nur Aini Masruroh   +2 more
doaj  

A reinforcement learning model for dynamic distribution route optimization of agricultural products under replenishment demand

Alexandria Engineering Journal
Most existing logistics optimization models assume static demand or ignore transportation replenishment, which limits their applicability in dynamic agricultural environments.
Delong Zhu, Qianyang Liu, Dafa Zuo, Lujiang Yin, Baolin Li, Jiang Hu, Caozheng Yan, Bo He, Changchun Xue   +8 more
doaj   +1 more source

Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif, Diane Demailly, Gabriella A. Horvàth, Juan Dario Ortigoza Escobar, Nathalie Dorison, Mayté Castro Jiménez, Cécile A. Hubsch, Thomas Wirth, Gun‐Marie Hariz, Sophie Huby, Morgan Dornadic, Zohra Souei, Muhammad Mushhood Ur Rehman, Simone Hemm, Mehdi Boulaymen, Eduardo M. Moraud, Jocelyne Bloch, Xavier Vasques   +17 more
wiley   +1 more source

Static Pre-Scheduling for ICD Drayage Operations via Task Pooling and Enhanced Adaptive Large Neighborhood Search

Applied Sciences
Static pre-scheduling in inland container depot (ICD)-centered drayage must coordinate tractors, detachable load units, factory loading, and port deadlines before next-day execution. Conventional order-based routing is too rigid for mixed direct haulage,
Shucheng Fan, Shaochuan Fu
doaj   +1 more source

Adaptive Large Neighbourhood Search

, 2010
Large neighborhood search is a metaheuristic that has gained popularity in recent years. The heuristic repeatedly moves from solution to solution by first partially destroying the solution and then repairing it.
Røpke, Stefan
core  

Global Rather Than Vertical‐Selective Saccadic Abnormalities in Progressive Supranuclear Palsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To test whether vertical saccades are preferentially affected in Progressive Supranuclear Palsy (PSP). Methods PSP patients (n = 24) were compared to age‐matched controls (n = 94) and two degenerative groups (Alzheimer's disease, n = 20; Lewy body disease, n = 50).
Duy Duan Nguyen, Mark Paine, Soohyun Lee, Amir Fazlollahi, Baibin (Ben) Wang, John D. O'Sullivan, Peter J. Nestor   +6 more
wiley   +1 more source

Reinforcement Learning-Enhanced Operator Selection in Adaptive Large Neighborhood Search: Application to CVRP and VRPTW

International audienceReinforcement Learning-Enhanced Operator Selection in Adaptive Large Neighborhood Search: Application to CVRP and ...
Ramdane Cherif-Khettaf, Wahiba, Cherrered, Asma, Oulamara, Ammar   +2 more
core   +2 more sources

An Adaptive Large Neighborhood Search Driven by Reanalysis Temperature Fields for Cold-Region UAV Mission Scheduling

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Uncrewed aerial vehicles operating in cold regions face a fundamental scheduling challenge: battery efficiency drops with ambient temperature, causing the effective range to vary dynamically over the day. Existing routing methods, however, treat range as
Jiankai Fang, Hongkun Wang, Juntao Yin, Zhihan Xu, Yan Qian, Shuo Zhang, Guangrun Hu   +6 more
doaj   +1 more source

Generic adaptive heuristics for large neighborhood search

, 2010
The Large Neighborhood Search (LNS) approach for solving Constrained Optimization Problems has been proved to be eective on a wide range of problems. LNS is a local search metaheuristic that uses a complete search method (such as CP) to explore a large ...
Deville, Yves, International conference on principles and practice of constraint programming, Mairy, Jean-Baptiste, Schaus, Pierre   +3 more
core  

The Price of Precision: A Critical Review of Molecular Diagnostics in Glioma, From Guidelines to Global Disparities

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Gliomas have undergone a profound redefinition over the past decade, transitioning from morphology‐based entities to biologically coherent diseases defined by molecular alterations. The 2021 WHO Classification of Tumors of the Central Nervous System and its 2022 update formalize this shift, establishing integrated diagnosis as the global ...
Maria Guarnaccia, Sebastiano Cavallaro
wiley   +1 more source