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Generating Practical Last-mile Delivery Routes using a Data-informed Insertion Heuristic

https://doi.org/10.2139/ssrn.4828958
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An analysis of several heuristics for the traveling salesman problem
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Vehicle Routing by Learning from Historical Solutions
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Probability estimation and structured output prediction for learning preferences in last mile delivery
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Visual attractiveness in routing problems: A review
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On service consistency in multi-period vehicle routing
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The multi-objective generalized consistent vehicle routing problem
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The vehicle-routing problem with time windows and driver-specific times
inferredcites →https://doi.org/10.1016/j.ejor.2020.03.037openalex-extracted
Binary driver-customer familiarity in service routing
inferredcites →https://doi.org/10.1016/j.ejor.2021.03.031openalex-extracted
An inverse optimization approach for a capacitated vehicle routing problem
inferredcites →https://doi.org/10.1016/j.ejor.2023.04.043openalex-extracted
Integrating driver behavior into last-mile delivery routing: Combining machine learning and optimization in a hybrid decision support framework
inferredcites →https://doi.org/10.1016/j.omega.2020.102340openalex-extracted
A case-based reasoning approach to solve the vehicle routing problem with time windows and drivers’ experience
inferredcites →https://doi.org/10.1016/j.trb.2018.09.011openalex-extracted
The delivery problem: Optimizing hit rates in e-commerce deliveries
inferredcites →https://doi.org/10.1016/j.tre.2021.102263openalex-extracted
Optimizing e-commerce last-mile vehicle routing and scheduling under uncertain customer presence
inferredcites →https://doi.org/10.1057/palgrave.jors.2601252openalex-extracted
A savings based method for real-life vehicle routing problems
inferredcites →https://doi.org/10.1080/00207543.2021.2013566openalex-extracted
Analytics and machine learning in vehicle routing research
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An Introduction to Logistic Regression Analysis and Reporting
inferredcites →https://doi.org/10.1109/access.2019.2950442openalex-extracted
Last Mile Delivery With Stochastic Travel Times Considering Dual Services
inferredcites →https://doi.org/10.1137/0206041openalex-extracted
An Analysis of Several Heuristics for the Traveling Salesman Problem
inferredcites →https://doi.org/10.1155/2015/824532openalex-extracted
A Method for Driving Route Predictions Based on Hidden Markov Model
inferredcites →https://doi.org/10.1162/089976698300017197openalex-extracted
Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms
inferredcites →https://doi.org/10.1213/ane.0000000000002864openalex-extracted
Correlation Coefficients: Appropriate Use and Interpretation
inferredcites →https://doi.org/10.1287/inte.2016.0875openalex-extracted
UPS Optimizes Delivery Routes
inferredcites →https://doi.org/10.1287/mnsc.2017.2992openalex-extracted
Inverse Optimization: Closed-Form Solutions, Geometry, and Goodness of Fit
inferredcites →https://doi.org/10.1287/mnsc.2021.3990openalex-extracted
Predicting Human Discretion to Adjust Algorithmic Prescription: A Large-Scale Field Experiment in Warehouse Operations
inferredcites →https://doi.org/10.1287/mnsc.6.1.80openalex-extracted
The Truck Dispatching Problem
inferredcites →https://doi.org/10.1287/trsc.1030.0046openalex-extracted
Efficient Insertion Heuristics for Vehicle Routing and Scheduling Problems
inferredcites →https://doi.org/10.1287/trsc.2014.0529openalex-extracted
The Generalized Consistent Vehicle Routing Problem
inferredcites →https://doi.org/10.1287/trsc.2022.0029openalex-extracted
Machine Learning for Data-Driven Last-Mile Delivery Optimization
inferredcites →https://doi.org/10.1287/trsc.2022.1173openalex-extracted
2021 Amazon Last Mile Routing Research Challenge: Data Set
inferredcites →https://doi.org/10.1287/trsc.2022.1185openalex-extracted
Constrained Local Search for Last-Mile Routing
inferredcites →https://doi.org/10.1287/trsc.2022.1196openalex-extracted
Using Machine Learning to Include Planners’ Preferences in Railway Crew Scheduling Optimization
inferredcites →https://doi.org/10.1287/trsc.2023.0241openalex-extracted
Inverse Optimization for Routing Problems
inferredcites →https://doi.org/10.1287/trsc.2023.intro.v58.n1openalex-extracted
Introduction to the Special Issue on Machine Learning Methods and Applications in Large-Scale Route Planning Problems
inferredcites →https://doi.org/10.2139/ssrn.4836782openalex-extracted
A Study of Shape Penalties in Vehicle Routing
inferredcites →https://doi.org/10.2307/1419730openalex-extracted
Principles of Neurodynamics: Perceptrons and the Theory of Brain Mechanisms
inferredcites →https://doi.org/10.3758/bf03193653openalex-extracted
The aesthetic appeal of minimal structures: Judging the attractiveness of solutions to traveling salesperson problems
inferredcites →https://doi.org/10.4271/2008-01-0195openalex-extracted
A Markov Model for Driver Turn Prediction
inferredcites →https://doi.org/10.48550/arxiv.1810.10659openalex-extracted
Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search
inferredcites →https://doi.org/10.48550/arxiv.1810.12997openalex-extracted
An Online-Learning Approach to Inverse Optimization
inferredcites →https://doi.org/10.48550/arxiv.2201.10269openalex-extracted
Probability estimation and structured output prediction for learning preferences in last mile delivery
inferredcites →https://doi.org/10.7275/r5251gc0openalex-extracted
Phonologically Informed Edit Distance Algorithms for Word Alignment with Low-Resource Languages
inferredcites →https://doi.org/10.1057/palgrave/jors/2601252openalex-snapshot
A savings based method for real-life vehicle routing problems
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