What is he best known for?
The fields of study he is best known for:
- Mathematical optimization
- Computer network
- Algorithm
His primary areas of investigation include Mathematical optimization, Vehicle routing problem, Integer programming, Routing and Algorithm.
Many of his studies on Mathematical optimization apply to Upper and lower bounds as well.
As a part of the same scientific study, Roberto Baldacci usually deals with the Integer programming, concentrating on Heuristic and frequently concerns with Service and Path.
His study in Routing is interdisciplinary in nature, drawing from both Quality, Constraint, Linear programming relaxation and Operations research.
His Combinatorial optimization study in the realm of Algorithm connects with subjects such as Time windows.
As a part of the same scientific family, Roberto Baldacci mostly works in the field of Exact algorithm, focusing on Relaxation and, on occasion, Branch and cut and Flow network.
His most cited work include:
- Recent exact algorithms for solving the vehicle routing problem under capacity and time window constraints (269 citations)
- New Route Relaxation and Pricing Strategies for the Vehicle Routing Problem (230 citations)
- An exact algorithm for the vehicle routing problem based on the set partitioning formulation with additional cuts (225 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Mathematical optimization, Vehicle routing problem, Routing, Integer programming and Exact algorithm.
His Mathematical optimization research includes themes of Algorithm and Upper and lower bounds.
His research in Upper and lower bounds intersects with topics in Column generation and Facility location problem.
Roberto Baldacci has included themes like Heuristics, Combinatorial optimization, Dual and Operations research in his Vehicle routing problem study.
His research investigates the link between Integer programming and topics such as Tree that cross with problems in Node, Steiner tree problem and Reduction.
His Exact algorithm study combines topics in areas such as Benders' decomposition, Linear programming, Branch and cut, Quay crane and Solver.
He most often published in these fields:
- Mathematical optimization (71.83%)
- Vehicle routing problem (50.70%)
- Routing (29.58%)
What were the highlights of his more recent work (between 2018-2021)?
- Mathematical optimization (71.83%)
- Vehicle routing problem (50.70%)
- Routing (29.58%)
In recent papers he was focusing on the following fields of study:
Roberto Baldacci focuses on Mathematical optimization, Vehicle routing problem, Routing, Exact algorithm and Benders' decomposition.
His study in the field of Heuristics and Travelling salesman problem also crosses realms of Benchmark, Ring and Service.
His work on Routing is being expanded to include thematically relevant topics such as Function.
His Exact algorithm study results in a more complete grasp of Algorithm.
Within one scientific family, Roberto Baldacci focuses on topics pertaining to Telecommunications network under Algorithm, and may sometimes address concerns connected to Node and Steiner tree problem.
His Benders' decomposition research is multidisciplinary, incorporating elements of Quay crane and Job shop scheduling.
Between 2018 and 2021, his most popular works were:
- The electric two-echelon vehicle routing problem (38 citations)
- A New Branch-and-Price-and-Cut Algorithm for One-Dimensional Bin-Packing Problems (8 citations)
- A Benders decomposition-based framework for solving quay crane scheduling problems (8 citations)
In his most recent research, the most cited papers focused on:
- Mathematical optimization
- Computer network
- Algorithm
Roberto Baldacci mainly focuses on Mathematical optimization, Bin packing problem, Exact algorithm, Algorithm and Branch and price.
In the subject of general Mathematical optimization, his work in Benders' decomposition is often linked to Workload, thereby combining diverse domains of study.
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