Results 91 to 100 of about 10,836,415 (286)

Estimating the Prevalence and Incidence of Symptomatic Hand Osteoarthritis in the Netherlands Using Primary Care Electronic Health Records

Arthritis Care &Research, EarlyView.
Objective Estimating the incidence and prevalence of symptomatic hand osteoarthritis (OA) in the Dutch population using a validated algorithm that integrates free‐text data from primary care electronic health records (EHRs). Methods This retrospective cohort study used the Integrated Primary Care Information database, including EHRs from approximately ...
Onur Kaya, Jacoline van den Driest, Laura Struik, Margreet Kloppenburg, Ruud Selles, Daniel Prieto Alhambra, Sita Bierma‐Zeinstra, Dieuwke Schiphof   +7 more
wiley   +1 more source

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  

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  

A two-phase adaptive large neighborhood search algorithm for the electric location routing problem with range anxiety

This is the experimental data of the manuscript entitled “A two-phase adaptive large neighborhood search algorithm for the electric location routing problem with range anxiety”.
Zhang Shuai (17710173), Zhang Wenyu (17674545), Chen Qinjie (17674547), Xia Jieman (12890834)   +3 more
core   +1 more source

Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane, Salama Makni, Mourad Kchaou, Ahmed El Hajjaji   +3 more
wiley   +1 more source

Large Neighborhood Search for Variants of TSP

, 2007
International audienceTo solve problems with Local Search procedures, neighborhoods have to be defined. During the resolution, a solution is typically replaced by the best solution found in its neighborhood.
Artigues, Christian, Feillet, Dominique, Bontoux, Boris   +2 more
core   +4 more sources

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   +1 more source

Improved Differential Evolution Algorithm to Solve the Advertising Method Selection Problem

Journal of Open Innovation: Technology, Market and Complexity, 2019
This article proposes a methodology to resolve the advertising method selection problem (AdSP). The use of different advertising methods for the same product can generate different responses in terms of the product’s sales volume. Companies selling
Malichan Thongkham, Tassin Srivarapongse
doaj   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

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