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A concise guide to existing and emerging vehicle routing problem variants
Vehicle routing problems have been the focus of extensive research over the past sixty
years, driven by their economic importance and their theoretical interest. The diversity of …
years, driven by their economic importance and their theoretical interest. The diversity of …
Learning combinatorial optimization algorithms over graphs
The design of good heuristics or approximation algorithms for NP-hard combinatorial
optimization problems often requires significant specialized knowledge and trial-and-error …
optimization problems often requires significant specialized knowledge and trial-and-error …
Formulating and solving routing problems on quantum computers
The determination of vehicle routes fulfilling connectivity, time, and operational constraints is
a well-studied combinatorial optimization problem. The NP-hard complexity of vehicle …
a well-studied combinatorial optimization problem. The NP-hard complexity of vehicle …
A review on sustainable inventory routing
Abstract Inventory Routing Problem is a variant of the Vehicle Routing Problem that consists
of interrelated vehicle routing and inventory decisions. There is a growing interest in …
of interrelated vehicle routing and inventory decisions. There is a growing interest in …
[PDF][PDF] Learning to Run Heuristics in Tree Search.
Abstract “Primal heuristics” are a key contributor to the improved performance of exact
branch-and-bound solvers for combinatorial optimization and integer programming. Perhaps …
branch-and-bound solvers for combinatorial optimization and integer programming. Perhaps …
Dynamic repositioning to reduce lost demand in bike sharing systems
Bike Sharing Systems (BSSs) are widely adopted in major cities of the world due to
concerns associated with extensive private vehicle usage, namely, increased carbon …
concerns associated with extensive private vehicle usage, namely, increased carbon …
A multi-compartment vehicle routing problem arising in the collection of olive oil in Tunisia
We introduce, model and solve to optimality a rich multi-product, multi-period and multi-
compartment vehicle routing problem with a required compartment cleaning activity. This …
compartment vehicle routing problem with a required compartment cleaning activity. This …
The machine learning for combinatorial optimization competition (ml4co): Results and insights
Combinatorial optimization is a well-established area in operations research and computer
science. Until recently, its methods have focused on solving problem instances in isolation …
science. Until recently, its methods have focused on solving problem instances in isolation …
A relax-and-fix and fix-and-optimize algorithm for a Maritime Inventory Routing Problem
Abstract The Maritime Inventory Routing Problem (MIRP) has gained attention in
combinatorial optimization in the last decades. The problem has several variations, mostly …
combinatorial optimization in the last decades. The problem has several variations, mostly …
Robust optimization for a maritime inventory routing problem
We consider a single product maritime inventory routing problem in which the production
and consumption rates are constant over the planning horizon. The problem involves a …
and consumption rates are constant over the planning horizon. The problem involves a …