What is he best known for?
The fields of study he is best known for:
- Statistics
- Artificial intelligence
- Algorithm
His primary scientific interests are in Vehicle routing problem, Mathematical optimization, Operations research, Heuristics and Routing.
His work deals with themes such as Tabu search, Metaheuristic and Heuristic, which intersect with Vehicle routing problem.
His Mathematical optimization study frequently links to related topics such as Simulation.
His Operations research research focuses on Range and how it relates to Decision problem and Structure.
The study incorporates disciplines such as Test, Set and Heuristic in addition to Heuristics.
His Routing research incorporates elements of Class, Ball, Risk analysis and Operations management.
His most cited work include:
- The vehicle routing problem : latest advances and new challenges (845 citations)
- VEHICLE ROUTING: METHODS AND STUDIES (675 citations)
- The Orienteering Problem (536 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Mathematical optimization, Vehicle routing problem, Operations research, Heuristics and Heuristic.
His Mathematical optimization research includes elements of Algorithm and Set.
His Vehicle routing problem study combines topics from a wide range of disciplines, such as Arc routing and Integer programming.
Heuristics connects with themes related to Metaheuristic in his study.
His research in Heuristic intersects with topics in Local search and Benchmark.
Bruce L. Golden works mostly in the field of Destination-Sequenced Distance Vector routing, limiting it down to topics relating to Equal-cost multi-path routing and, in certain cases, Multipath routing and Policy-based routing.
He most often published in these fields:
- Mathematical optimization (34.33%)
- Vehicle routing problem (24.33%)
- Operations research (16.33%)
What were the highlights of his more recent work (between 2011-2021)?
- Mathematical optimization (34.33%)
- Vehicle routing problem (24.33%)
- Arc routing (6.67%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Mathematical optimization, Vehicle routing problem, Arc routing, Routing and Operations research.
Heuristic, Heuristics, Travelling salesman problem, Integer programming and Metaheuristic are subfields of Mathematical optimization in which his conducts study.
His Travelling salesman problem study incorporates themes from Node and Heuristic.
His Vehicle routing problem study improves the overall literature in Computer network.
His Routing research is multidisciplinary, incorporating elements of Customer satisfaction, Algorithm, Focus and Benchmark.
Bruce L. Golden has included themes like Genetic algorithm, Computational intelligence and Simulation in his Operations research study.
Between 2011 and 2021, his most popular works were:
- Optimization approaches for civil applications of unmanned aerial vehicles (UAVs) or aerial drones: A survey (204 citations)
- The vehicle routing problem with drones: several worst-case results (152 citations)
- The vehicle routing problem with drones: Extended models and connections (110 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Artificial intelligence
- Algorithm
Bruce L. Golden mostly deals with Mathematical optimization, Vehicle routing problem, Routing, Drone and Operations research.
His research links Arc routing with Mathematical optimization.
His Routing research includes themes of Customer satisfaction, Focus and Benchmark.
His research in Operations research tackles topics such as Computational intelligence which are related to areas like Node and Lower priority.
He combines subjects such as Workload, Case analysis and Set with his study of Heuristic.
His biological study spans a wide range of topics, including Nearest neighbour algorithm, Combinatorics, Graph and Bottleneck traveling salesman problem, Lin–Kernighan heuristic.
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