What is he best known for?
The fields of study he is best known for:
- Mathematical optimization
- Algorithm
- Artificial intelligence
His scientific interests lie mostly in Mathematical optimization, Vehicle routing problem, Heuristic, Heuristic and Heuristics.
His Mathematical optimization research includes themes of Cluster analysis and Operations management.
His Vehicle routing problem study combines topics in areas such as Local search, Simulation, Variable neighborhood search, Scheduling and Combinatorial optimization.
His Combinatorial optimization study incorporates themes from Location routing and Search algorithm.
His study in Heuristics is interdisciplinary in nature, drawing from both Time complexity, Reduction, Transportation theory, Linear programming and Operations research.
His Operations research research is multidisciplinary, relying on both Routing and Arc routing.
His most cited work include:
- Location-routing: Issues, models and methods (705 citations)
- Heuristic algorithms for single and multiple depot vehicle routing problems with pickups and deliveries (344 citations)
- A Cluster Insertion Heuristic for Single and Multiple Depot Vehicle Routing Problems with Backhauling (226 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Mathematical optimization, Vehicle routing problem, Heuristics, Operations research and Heuristic.
His work is dedicated to discovering how Mathematical optimization, Algorithm are connected with Genetic algorithm and other disciplines.
His Vehicle routing problem research is multidisciplinary, incorporating perspectives in Local search and Reduction.
Within one scientific family, Said Salhi focuses on topics pertaining to Tabu search under Heuristics, and may sometimes address concerns connected to Machine learning.
As a part of the same scientific study, he usually deals with the Operations research, concentrating on Scheduling and frequently concerns with Project management and Reliability.
His 1-center problem study, which is part of a larger body of work in Facility location problem, is frequently linked to Fixed cost, bridging the gap between disciplines.
He most often published in these fields:
- Mathematical optimization (60.98%)
- Vehicle routing problem (21.46%)
- Heuristics (21.46%)
What were the highlights of his more recent work (between 2017-2021)?
- Mathematical optimization (60.98%)
- Vehicle routing problem (21.46%)
- Metaheuristic (15.61%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Mathematical optimization, Vehicle routing problem, Metaheuristic, Operations research and Routing.
In his study, which falls under the umbrella issue of Mathematical optimization, Heuristic and Benders' decomposition is strongly linked to Location routing.
Said Salhi combines subjects such as Constructive heuristic, Route generation and Reduction with his study of Vehicle routing problem.
His Metaheuristic course of study focuses on Simulated annealing and Flow network and Combinatorial optimization.
His Operations research study combines topics from a wide range of disciplines, such as Dijkstra's algorithm, Decision problem and Risk assessment.
His research in Heuristics focuses on subjects like Crossover, which are connected to Genetic algorithm.
Between 2017 and 2021, his most popular works were:
- The planar multiple obnoxious facilities location problem: A Voronoi based heuristic (15 citations)
- The heterogeneous fleet vehicle routing problem with light loads and overtime: Formulation and population variable neighbourhood search with adaptive memory (11 citations)
- Variable Neighbourhood Search: 6th International Conference, ICVNS 2018, Sithonia, Greece, October 4–7, 2018, Revised Selected Papers (8 citations)
In his most recent research, the most cited papers focused on:
- Mathematical optimization
- Algorithm
- Artificial intelligence
His scientific interests lie mostly in Mathematical optimization, Facility location problem, Algorithm, Neighbourhood search and Metaheuristic.
Said Salhi combines Mathematical optimization and Integer in his research.
Said Salhi has included themes like Mathematical model and Theory of computation in his Facility location problem study.
His Simulated annealing study in the realm of Algorithm interacts with subjects such as Container and Constructive.
His Neighbourhood search research includes themes of Vehicle routing problem, Service and Operations research.
His work in the fields of Metaheuristic, such as Variable neighborhood search, intersects with other areas such as Structure, Stimulating environment and Polynomial.
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