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Locating Collection and Delivery Points Using the <i>p</i>-Median Location Problem
Published 2023-02-01“…<i>Conclusions</i>: User households can be used as CDPs to achieve various benefits. Locating CDPs, i.e., selecting households, can be solved as a <i>p</i>-median problem, using a combination of heuristic and metaheuristic algorithms. …”
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acACS: Improving the Prediction Accuracy of Protein Subcellular Locations and Protein Classification by Incorporating the Average Chemical Shifts Composition
Published 2014-01-01“…The structure information of a protein can be represented by the average chemical shifts (ACS) composition, which has been broadly applied for enhancing the prediction accuracy in protein subcellular locations and protein classification. …”
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Facility location problem for senior centers in an upcoming super-aging society
Published 2025-02-01“…This study aims to address the facility location problem for senior centers in upcoming super-aging societies. …”
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Tabu Search Algorithm for Solving a Location-Routing-Inventory Problem
Published 2024-10-01“…Therefore, how to decide locations, determine vehicle routing, and control inventory optimally, or location-routing-inventory problem (LRIP), becomes an important issue to design logistics systems. …”
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A MCDM approach to the facility location selection problem of sustainable solid waste management
Published 2024-11-01Get full text
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A Dynamic Framework for Community-Facility Siting with Inter-Community Competition
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A Multi-Strategy ALNS for the VRP with Flexible Time Windows and Delivery Locations
Published 2025-04-01“…Therefore, this paper introduces a Vehicle Routing Problem with flexible time windows and delivery locations, considering customer satisfaction (VRP-CS), which considers customer satisfaction by using prospect theory from two aspects: the flexibility of delivery time and delivery locations. …”
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A distributed algorithm for solving large-scale p-median problems using expectation maximization
Published 2024-11-01“…The p-median problem selects p source locations to serve n destinations such that the average distance between the destinations and corresponding sources is minimized. …”
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Average error determination in the calculation of earthquake epicenter coordinates
Published 2021-07-01“…The study is aimed at determining the dependence of the average error in calculating the epicenter coordinates of an earthquake on errors in measuring the velocities of seismic waves for various methods of seismic event localization. …”
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Exploring efficiency and spatial equity trade-offs in docked bike-sharing
Published 2025-12-01“…These inputs are applied to the maximal covering location problem to create a comprehensive framework that evaluates interactions between spatial configurations, station size, scale, and design variables while examining trade-offs between efficiency and equity objectives. …”
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The Hybrid Taguchi-Genetic Algorithm for Mobile Location
Published 2014-03-01“…To estimate the mobile location is an important topic in wireless communication. …”
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AUTOREGRESSIVE INTEGRATED MOVING AVERAGE FOR COCOA PRODUCTION IN SULAWESI ISLAND 2021-2030
Published 2022-09-01“…At the moment this Indonesia's position is ranked third highest, however with problems production faced _ of course just rating this could shift to down, though riches nature and location geographical very support cultivation. …”
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A Capacitated Location-Inventory Model with Demand Selection
Published 2019-01-01“…In this paper, we consider an integrated supply chain network design problem, which incorporates inventory and pricing decisions into the capacitated facility location model. …”
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Optimal surveillance against foot-and-mouth disease: A sample average approximation approach.
Published 2020-01-01“…This paper focuses on the case of finding the optimal level of surveillance against a highly infectious animal disease where time, space and randomness are fully considered. We apply the Sample Average Approximation approach to solve our problem, and to control model dimension, we propose the use of an infection tree model, in combination with sensible 'tree-pruning' and parallel processing techniques. …”
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Uncertainty of industrial noise measurement at distant locations from the source
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OS-PSO: A Modified Ratio of Exponentially Weighted Averages-Based Optical and SAR Image Registration
Published 2024-09-01“…Immediately after that, the gradient location orientation histogram (GLOH) method is adopted to construct the feature descriptors. …”
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Research on the Location-Routing Optimization of International Freight Trains Considering the Implementation of Blockchain
Published 2024-11-01“…A bi-objective location-routing optimization model is constructed to optimize problems, such as the location of the assembly center, route of freight assembly, frequency of international freight trains, and number of formations. …”
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Spectral clustering and embedding-enhanced POI recommendation in location-based social network
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Location privacy protection method based on lightweight K-anonymity incremental nearest neighbor algorithm
Published 2023-06-01“…The use of location-based service brings convenience to people’s daily lives, but it also raises concerns about users’ location privacy.In the k-nearest neighbor query problem, constructing K-anonymizing spatial regions is a method used to protects users’ location privacy, but it results in a large waste of communication overhead.The SpaceTwist scheme is an alternative method that uses an anchor point instead of the real location to complete the k-nearest neighbor query,which is simple to implement and has less waste of communication overhead.However,it cannot guarantee K-anonymous security, and the specific selection method of the anchor point is not provided.To address these shortcomings in SpaceTwist, some schemes calculate the user’s K-anonymity group by introducing a trusted anonymous server or using the way of user collaboration, and then enhance the end condition of the query algorithm to achieve K-anonymity security.Other schemes propose the anchor point optimization method based on the approximate distribution of interest points, which can further reduce the average communication overhead.A lightweight K-anonymity incremental nearest neighbor (LKINN) location privacy protection algorithm was proposed to improve SpaceTwist.LKINN used convex hull mathematical tool to calculate the key points of K-anonymity group, and proposed an anchor selection method based on it, achieving K-anonymity security with low computational and communication costs.LKINN was based on a hybrid location privacy protection architecture, making only semi-trusted security assumptions for all members of the system, which had lax security assumptions compared to some existing research schemes.Simulation results show that LKINN can prevent semi-trusted users from stealing the location privacy of normal users and has smaller query response time and communication overhead compare to some existing schemes.…”
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