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 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.
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.
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.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Location-routing: Issues, models and methods
Gábor Nagy;Saïd Salhi.
European Journal of Operational Research (2007)
Heuristic algorithms for single and multiple depot vehicle routing problems with pickups and deliveries
Gábor Nagy;Saı̈d Salhi.
European Journal of Operational Research (2005)
A Cluster Insertion Heuristic for Single and Multiple Depot Vehicle Routing Problems with Backhauling
Said Salhi;Gábor Nagy.
Journal of the Operational Research Society (1999)
The effect of ignoring routes when locating depots
Said Salhi;Graham K. Rand.
European Journal of Operational Research (1989)
A multi-level composite heuristic for the multi-depot vehicle fleet mix problem
Said Salhi;M. Sari.
European Journal of Operational Research (1997)
Inventory routing problems: a logistical overview
Noor Hasnah Moin;Said Salhi.
Journal of the Operational Research Society (2007)
An efficient hybrid genetic algorithm for the multi-product multi-period inventory routing problem
Noor Hasnah Moin;Said Salhi;N.A.B Aziz.
International Journal of Production Economics (2011)
Incorporating vehicle routing into the vehicle fleet composition problem
Said Salhi;Graham K. Rand.
European Journal of Operational Research (1993)
A variable neighborhood-based heuristic for the heterogeneous fleet vehicle routing problem
Arif Imran;Said Salhi;Niaz A. Wassan.
European Journal of Operational Research (2009)
A multi-phase constructive heuristic for the vehicle routing problem with multiple trips
R. J. Petch;S. Salhi.
Discrete Applied Mathematics (2003)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: