Results 61 to 70 of about 12,176,108 (293)

Large Neighborhood Search

open access: yes, 2018
In the last 15 years, heuristics based on large neighborhood search (LNS) and the variant adaptive large neighborhood search (ALNS) have become some of the most successful paradigms for solving various transportation and scheduling problems.
David Pisinger   +3 more
core   +1 more source

Health Care Use Among Patients Presenting to Emergency Department for Gout Flares in Ontario, Canada: A Population‐Based Health Systems Analysis

open access: yesArthritis Care &Research, EarlyView.
Objective We characterized emergency department (ED) gout visits and identified patient characteristics and health services patterns contributing to ED presentations. Methods We conducted a population‐based study of ED gout visits in Ontario, Canada, between 2014 and 2023.
Timothy S. H. Kwok   +7 more
wiley   +1 more source

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

open access: yesAlexandria Engineering Journal
Most existing logistics optimization models assume static demand or ignore transportation replenishment, which limits their applicability in dynamic agricultural environments.
Delong Zhu   +8 more
doaj   +1 more source

Adaptive Large Neighborhood Search

open access: yes, 2015
There has already been a lot of research on Local Search Heuristics in Computer Science. Local Search improves an initial solution by manipulating rather small parts of the solution.
Lutz, Roman
core   +1 more source

Beyond Visual Scoring: Computational Computed Tomography Analysis for High‐Resolution Computed Tomography–Based Quantification of Interstitial Lung Disease in Inflammatory Rheumatic Disease

open access: yesArthritis Care &Research, EarlyView.
Interstitial lung disease (ILD) is a significant cause of morbidity and mortality in patients with inflammatory rheumatic disorders (IRDs). High‐resolution computed tomography (HRCT) is widely considered the gold standard for the noninvasive assessment of ILD; however, its interpretation is constrained by substantial interobserver variability and the ...
Alexander Pfeil   +7 more
wiley   +1 more source

An intelligent stochastic optimization approach for air cargo order allocation under carbon emission constraints.

open access: yesPLoS ONE
In air cargo transportation, effective order allocation is crucial for improving the efficiency of business operations and reducing environmental impact.
Zhenzhong Zhang   +3 more
doaj   +1 more source

Variable neighbourhood decomposition search for 0-1 mixed integer programs [PDF]

open access: yes, 2009
In this paper we propose a new hybrid heuristic for solving 0-1 mixed integer programs based on the principle of variable neighbourhood decomposition search. It combines variable neighbourhood search with a general-purpose CPLEX MIP solver.
Hanafi, S   +7 more
core   +1 more source

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

open access: yesInternational 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   +3 more
wiley   +1 more source

Heuristic Algorithms for Heterogeneous and Multi-Trip Electric Vehicle Routing Problem with Pickup and Delivery

open access: yesWorld Electric Vehicle Journal
In light of the widespread use of electric vehicles for urban distribution, this paper delves into the electric vehicle routing problem (EVRP): specifically addressing multiple trips per vehicle, diverse vehicle types, and simultaneous pickup and ...
Li Wang   +4 more
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

open access: yesAdvanced 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   +8 more
wiley   +1 more source

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