Kent Business School

About

Said Salhi is Professor of Management Science and Operational Research at Kent Business School (UK) and Head of the Management Science research group. He is also Director of the Centre for Logistics and Heuristic Optimisation (CLHO) which he established. He developed and is Programme Director for the MSc in Logistics and Supply Chain Management.

Prior to his appointment to Kent in 2005, Said was at the University of Birmingham in the School of Mathematics for 15 years where he acted as the Head of the Management Mathematics Group. He obtained his BSc in Mathematics at Algiers's University, MSc and PhD in OR at Southampton and Lancaster respectively.

Said has edited 5 special edition papers including the OR48 keynote papers (ORS, Bath conference), chaired the European Working Group in Location Analysis in 1996 and is chair for the International Symposium on Combinatorial Optimisation (CO2016) in Kent, 1-3 September 2016.

Said has published 100 papers in academic journals (excluding edited proceedings and book chapters), his H-index is 22 from Web of Knowledge, 23 from Scopus and 35 from Google Scholar. His RG score is 35.03 (higher than 92.5% of Research Gate members). The number of his citations is more than 1,600 in the Web of knowledge, over 1,900 in Scopus and in Google Scholar this number exceeds 4,400.

Said has a rich experience in PhD supervision with 24 PhD students successfully completed coming from various countries, cultures, age and gender.

Said is a fellow of the OR Society (FORS), the IMA (FIMA) and CILT (FCILT), an executive member of the NATCOR, a member of COPIOR, Informs, EWGLA and ISOLDE.  He is also an Associate Editor of the IMA Journal of Management Mathematics and sits on several other editorial boards.

Contact Information

Address

Kent Business School
Research and Development Centre
Room G01
Canterbury

13:00 - 14:00 Tuesday 14:00 - 15:00 Wednesday

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Publications

Also view these in the Kent Academic Repository

Edited book
Mladenovic, N. et al. eds. (2014). Recent Advances in Variable Neighbourhood Search. Computers & Operations Research (vol 52), Science Direct.
Salhi, S. and Drezner, Z. eds. (2006). Location Analysis: theory and Applications. Oxford Hournals.
Salhi, S. (2006). 2006 Bath Conference Keynote Papers (OR 48). Salhi, S. ed. Operational Research Society.
Salhi, S. and Boffey, B. (2000). Operational Research in Environmental Planning. [Online]. Salhi, S. and Boffey, B. eds. European Journal of Operational Research. Available at: http://dx.doi.org/10.1016/S0377-2217(99)00212-X .
Boffey, B. and Salhi, S. (1997). Studies in Locational Analysis. Salhi, S. and Boffey, B. eds.
Book section
Salhi, S., Farber, G. and Coves, A. (2008). Semi Dynamic Demand in a Non-Permutation Flowshop with Constrained Resequencing Buffers. in: Lirkov, I., Margenov, S. and Wasniewski, J. eds. Large-scale Scientific Computing. Lecture Notes in Computer Science . Berlin: Springer-Verlag, pp. 536-544.
Salhi, S. (2006). Heuristic Search: The Science of Tomorrow. in: Salhi, S. ed. OR48 Keynotes Papers. Operational Research Society, pp. 39 - 58.
Salhi, S., Smithies, R. and Queen, N. (2005). Predicting Colorectal Cancer Recurrence: A Metaheuristic Approach. in: Ibaraki, T., Nonobe, K. and Yagiura, M. eds. Metaheuristic: Progress as Real Problem Solvers. USA: Kluwer, pp. 259-286.
Wade, A. and Salhi, S. (2003). An ant system algorithm for the mixed vehicle routing problem with backhauls. in: Resende, M. G. C. and Sousa, J. Pde eds. Metaheuristics: Computer Decision-Making. AH Dordrecht, The Netherlands: Kluwer academic Publishers, pp. 699-719.
Salhi, S., Thangiah, S. and Rahman, F. (1998). A Genetic Clustering Method of the Multi-Depot Vehicle Routing Problem. in: Smith, G. D. and Steel, N. C. eds. Artificial Neural Network and Genetic Algorithms. Vienna: Springer, NY, pp. 234-237. Available at: http://bookshop.blackwell.co.uk/jsp/id/Artificial_Neural_Nets_and_Genetic_Algorithms/9783211830871.
Salhi, S. (1998). Heuristic Search Methods. in: Marcoulides, G. A. ed. Modern Methods for Business Research. Mahwah: Lawrence Erlbaum Associates, pp. 147-175. Available at: http://bookshop.blackwell.co.uk/jsp/id/Modern_Methods_for_Business_Research/9780805826777.
Salhi, S. and Osman, I. (1996). Local Search Strategies for the Vehicle Fleet Mix Problem. in: Rayward-Smith, V. J. et al. eds. Modern Heuristic Search Methods. Chichester: Wiley , pp. 131-154.
Article
Wassan, N. et al. (2016). The Multiple Trip Vehicle Routing Problem with Backhauls: Formulation and a Two-Level Variable Neighbourhood Search. Computers & Operations Research [Online]. Available at: http://dx.doi.org/10.1016/j.cor.2015.12.017.
Azizi, N. et al. (2016). The impact of hub failure in Hub-and-Spoke networks: Mathematical formulations and solution techniques. Computers & Operations Research 65:174-188.
Elshaikh, A. et al. (2016). An Adaptive Perturbation-Based Heuristic: An Application to the Continuous p-Centre Problem. Computers and Operations Research [Online] 75:1-11. Available at: http://www.dx.doi.org/10.1016/j.cor.2016.04.018.
Bouzid, M., Ait Haddadene, H. and Salhi, S. (2016). An Integration of Lagrangian Split and VNS: The case of the Capacitated Vehicle Routing Problem. Computers and Operations Research [Online]. Available at: http://dx.doi.org/10.1016/j.cor.2016.02.009.
Sze, J., Salhi, S. and Wassan, N. (2016). A hybridisation of adaptive variable neighbourhood search and large neighbourhood search: Application to the vehicle routing problem. Expert Systems with Applications [Online] 65:383-397. Available at: http://dx.doi.org/10.1016/j.eswa2016.08.060.
Irawan, C., Salhi, S. and Drezner, Z. (2016). Hybrid Meta-heuristics with VNS and Exact Methods: Application to Large Unconditional and Conditional Vertex p-Centre Problems. Journal of Heuristics [Online] 22:507-537. Available at: http://dx.doi.org/10.1007/s10732-014-9277-7.
Salhi, S. et al. (2015). Solving the planar p-median problem by variable neighborhood and concentric searches. Journal of Global Optimization [Online] 63:501-514. Available at: http://dx.doi.org/10.1007/s10898-014-0183-1.
Salhi, S. and Irawan, C. (2015). A quadtree-based allocation method for a class of large discrete Euclidean location problems: large location problems. Computers and Operations Research [Online] 55:23-35. Available at: http://dx.doi.org/10.1016/j.cor.2014.10.002.
Luis, M., Salhi, S. and Nagy, G. (2015). A Constructive Method and a Guided Hybrid GRASP for the Capacitated Multi-source Weber Problem in the Presence of Fixed Cost. Journal of Algorithms & Computational Technology [Online] 9:215-232. Available at: http://dx.doi.org/10.1260/1748-3018.9.2.215.
Drezner, Z. et al. (2015). New heuristic algorithms for solving the planar p-median problem. Computers and Operations Research [Online] 62:296-304. Available at: http://dx.doi.org/10.1016/j.cor.2014.05.010.
Shaikh, A., Salhi, S. and Ndiaye, M. (2015). New MAXCAP Related Problems: Formulation and Model Solutions: A class of competitive location problems. Computers & Industrial Engineering [Online] 85:248-259. Available at: http://dx.doi.org/10.1016/j.cie.2015.03.018.
Garcia-Villoria, A. and Salhi, S. (2015). Scheduling commercial advertisements for television. International Journal of Production Research [Online] 53:1198-1215. Available at: http://dx.doi.org/10.1080/00207543.2014.951095.
Bouzid, M., Ait Haddadene, H. and Salhi, S. (2015). Splitting a giant tour using integer linear programming: giant tour splitting. Electronic Notes in Discrete Mathematics [Online] 47:245-252. Available at: http://dx.doi.org/10.1016/j.endm.2014.11.032.
Irawan, C. and Salhi, S. (2015). Solving Large p-median Problems by a Multistage Hybrid Approach Using Demand Points Aggregation and Variable Neighbourhood Search. Journal of Global Optimization [Online] 63:537-554. Available at: http://dx.doi.org/10.1007/s10898-013-0080-z.
Hosseininezhad, S., Salhi, S. and Jabalameli, M. (2015). A Cross Entropy-Based Heuristic for the Capacitated Multi-Source Weber Problem with Facility Fixed Cost: Cross entropy for continuous location problems. Computers & Industrial Engineering [Online] 83:151-158. Available at: http://dx.doi.org/10.1016/j.cie.2015.01.013.
Elshaikh, A., Salhi, S. and Nagy, G. (2015). The continuous p-centre problem: An investigation into variable neighbourhood search with memory. European Journal of Operational Research [Online] 241:606-621. Available at: http://dx.doi.org/10.1016/j.ejor.2014.19.006.
Brimberg, J. et al. (2014). A New Local Search for Continuous Location Problems. European Journal of Operational Research [Online] 232:256-265. Available at: http://dx.doi.org/10.1016/j.ejor.2013.06.022.
Irawan, C., Salhi, S. and Scaparra, M. (2014). An adaptive multiphase approach for large unconditional and conditional p-median problems. European Journal of Operational Research [Online] 237:590-605. Available at: http://dx.doi.org/10.1016/j.ejor.2014.01.050.
Fernandez, J., Salhi, S. and Toth, B. (2014). Location equilibria for a continuous competitive facility location problem under delivered pricing: competitive continuous location. Computers and Operations Research [Online] 41:185-195. Available at: http://dx.doi.org/10.1016/j.cor.2013.08.004.
Salhi, S., Imran, A. and Wassan, N. (2014). The Multi-depot Vehicle Routing Problem with Heterogeneous Vehicle Fleet: Formulation and a Variable Neighborhood Search Implementation. Computers and Operations Research [Online] 52:315-325. Available at: http://dx.doi.org/10.1016/j.cor.2013.05.011.
Nezhad, A., Manzour, H. and Salhi, S. (2013). Lagrangian relaxation heuristics for the uncapacitated single-source multi-product facility location problem. International Journal of Production Economics [Online] 145:713-723. Available at: http://dx.doi.org/10.1016/j.ijpe.2013.06.001.
Wassan, N. et al. (2013). Solving the Mixed Backhauling Vehicle Routing: Problem with Ants. International Journal of Energy Optimization and Engineering [Online] 2. Available at: http://dx.doi.org/10.4018/ijeoe.2013040105.
Salhi, S., Wassan, N. and Hajarat, M. (2013). The Fleet Size and Mix vehicle Routing Problem with backhauls: Formulation and Set partitioning-based heuristics. Transportation Research Part E [Online] 56:22-35. Available at: http://dx.doi.org/10.1016/j.tre.2013.05.005.
Nagy, G., Wassan, N. and Salhi, S. (2013). The Vehicle Routing Problem with Restricted Mixing of Deliveries and Pickups. Journal of Scheduling [Online] 16:199-213. Available at: http://dx.doi.org/10.1007/s10951-012-0296-7.
Gomez, A., Imran, A. and Salhi, S. (2013). Solution of Classical Transport Problems with Bee Algorithms. International Journal of Logistics Systems and Management [Online] 15:160-170. Available at: http://dx.doi.org/10.1504/IJLSM.2013.053764.
Salhi, S. and Garcia-Villoria, A. (2012). An Adaptive Search for the Response Time Variability Problem. Journal of the Operational Research Society [Online] 63:597-605. Available at: http://dx.doi.org/10.1057/jors.2011.46.
Sheikh, A., Salhi, S. and Ndiaye, M. (2012). Customer Allocation in Maximum Capture Problems. Journal of Mathematical Modelling and Algorithms [Online] 11:281-293. Available at: http://dx.doi.org/10.1007/s10852-012-9185-5.
Brimberg, J. et al. (2012). Generating Good Starting Solutions for the p-median Problem in the Plane Sifalera, A., Urosevic, D. and Mladenovic, N. eds. Electronic Notes in Discrete Mathematics [Online] 39:225-232. Available at: http://dx.doi.org/10.1016/j.endm.2012.10.030.
Manzour-al-Ajdad, S., Torabi, S. and Salhi, S. (2012). A Hierarchical Algorithm for the Planar Single-facility Location Routing Problem . Computers and Operations Research [Online] 39:461-470. Available at: http://dx.doi.org/10.1016/j.cor.2011.05.013.
Nagy, G., Salhi, S. and Wassan, N. (2011). Modelling Vehicle Routing Problems with Deliveries and Pickups More Realistically. Lecture Notes in Management Science 3:659-672.
Moin, N., Salhi, S. and Aziz, N. (2011). An efficient hybrid genetic algorithm for the multi-product multi-period inventory routing problem. International Journal of Production Economics [Online] 133:334-343. Available at: http://dx.doi.org/10.1016/j.ijpe.2010.06.012.
Luis, M., Salhi, S. and Nagy, G. (2011). A guided reactive GRASP for the capacitated multi-source Weber problem. Computers and Operations Research [Online] 38:1014-1024. Available at: http://dx.doi.org/10.1016/j.cor.2010.10.015.
Garcia-Villoria, A. et al. (2011). Hyper-heuristic approaches for the response time variability problem. European Journal of Operational Research [Online] 211:160-169. Available at: http://dx.doi.org/10.1016/j.ejor.2010.12.005.
Salhi, S. and Garcia-Villoria, A. (2011). An adaptive Search for the Response Time Variability Problem1. Journal of the Operational Research Society 63:597-605.
Plastino, A. et al. (2011). A hybrid data mining metaheuristic for the p-median problem . Statistical Analysis & Data Mining Journal [Online] 4:313-335. Available at: http://dx.doi.org/10.1002/sam.10116.
Farber, G., Salhi, S. and Coves, A. (2010). Performance evaluation of hybrid-CLP vs GA: Non permutation flowshop with constrained resequencing buffers. International Journal of Manufacturing & Management [Online] 20:242-258. Available at: http://dx.doi.org/10.1504/IJMTM.2010.032900.
Salhi, S. and Alkhedairi, A. (2010). Integrating heuristic information into exact methods: the case of the vertex p-centre problem. Journal of the Operational Research Society [Online] 61:1619-1631. Available at: http://dx.doi.org/10.1057/jors.2009.91.
Salhi, S. and Nagy, G. (2009). Local improvement in planar facility location using vehicle routing. Annals of Operations Research [Online] 167:287-296. Available at: http://dx.doi.org/10.1007/s10479-007-0223-z.
Luis, M., Salhi, S. and Nagy, G. (2009). Region-Rejection Based Heuristics for the Capacitated Multi-Source Weber Problem. Computers and Operations Research [Online] 36:2007-2017. Available at: http://dx.doi.org/10.1016/j.cor.2008.06.012.
Salhi, S. and Currie, R. (2009). Heuristics are here to help your online vehicle scheduling. OR Insight [Online] 22:88-104. Available at: http://dx.doi.org/10.1057/ori.2008.7.
Wilbaut, C., Salhi, S. and Hanafi, S. (2009). An iterative variable-based fixation heuristic for the 0-1 multidimensional knapsack problem. European Journal of Operational Research [Online] 199:339-348. Available at: http://dx.doi.org/10.1016/j.ejor.2008.11.036 .
Imran, A., Salhi, S. and Wassan, N. (2009). A variable neighborhood-based heuristic for the heterogeneous fleet vehicle routing problem. European Journal of Operational Research [Online] 197:509-518. Available at: http://dx.doi.org/10.1016/j.ejor.2008.07.022 .
Wilbaut, C., Hanafi, S. and Salhi, S. (2008). A survey of effective heuristics and their application to a variety of knapsack problems. IMA Journal of Management Mathematics [Online] 19:227-244. Available at: http://dx.doi.org/10.1093/imaman/dpn004.
Brimberg, J. et al. (2008). A survey of solution methods for the continuous location allocation problem. International Journal of Operations Research 5:1-12.
Nagy, G. and Salhi, S. (2007). Location-routing: Issues, models and methods. European Journal of Operational Research [Online] 177:649-672. Available at: http://dx.doi.org/10.1016/j.ejor.2006.04.004 .
Salhi, S. and Petch, R. (2007). A GA based heuristic for the vehicle routing problem with multiple trips. Journal of Mathematical Modelling and Algorithms [Online] 6:591-613. Available at: http://dx.doi.org/10.1007/s10852-007-9069-2.
Moin, N. and Salhi, S. (2007). Inventory routing problems: a logistical overview. Journal of the Operational Research Society [Online] 58:1185-1194. Available at: http://dx.doi.org/10.1057/palgrave.jors.2602264.
Zainuddin, Z. and Salhi, S. (2007). A Perturbation-Based Heuristic for the Capacitated Multi-Source Weber Problem. European Journal of Operational Research [Online] 179:1194-1207. Available at: http://dx.doi.org/10.1016/j.ejor.2005.09.050.
Salhi, S., Farber, G. and Coves, A. (2006). Sequencing in a Non-permutation Flowshop with Constrained Buffers: Applicability of Genetic Algorithm versus Constraint Logic Programming. LNCS 4818:536-544.
Welch, S., Salhi, S. and Drezner, Z. (2006). The Multifacility Maximin Planer Location Problem with Facility Interaction. IMA Journal of Management Mathematics [Online] 17:397-412. Available at: http://dx.doi.org/10.1093/imaman/dpl008.
Drezner, T., Drezner, Z. and Salhi, S. (2006). A multi-objective heuristic approach for the casualty collection points location problem. Journal of the Operational Research Society [Online] 57:727-734. Available at: http://dx.doi.org/10.1057/palgrave.jors.2602047.
Brimberg, J. and Salhi, S. (2005). A Continuous Location-Allocation Problem With Zone-Dependent Fixed Cost. Annals of Operations Research [Online] 136:99-115. Available at: http://dx.doi.org/10.1007/s10479-005-2041-5.
Al-Khedhairi, A. and Salhi, S. (2005). Enhancements to Two Exact Methods for the Vertex P-Centre Problem. Journal of Mathematical Modelling and Algorithms [Online] 4:129-147. Available at: http://dx.doi.org/10.1007/s10852-004-4072-3.
Nagy, G. and Salhi, S. (2005). Heuristic Algorithms For Single And Multiple Depot Vehicle Routing Problems With Pickups And Deliveries. European Journal of Operational Research 162:126-141.
Lloyd, L., Johnston, R. and Salhi, S. (2005). Strategies for Increasing the Efficiency of a Genetic Algorithm for the Structural Optimization of Nanoalloy Clusters. Journal of Computational Chemistry 26:1069-1078.
Salhi, S. and Queen, N. (2004). A Hybrid Algorithm for Identifying Global and Local Minima When Optimizing Functions with Many Minima. European Journal of Operational Research [Online] 155:51-67. Available at: http://dx.doi.org/10.1016/S0377-2217(02)00871-8.
Lloyd, L. et al. (2004). Theoretical Investigation of Isomer Stability in Platinum-Palladium Nanoallay Clusters. Journal of Materials Chemistry [Online] 14:1691-1704. Available at: http://dx.doi.org/10.1039/b313811a.
Mwembeshi, M., Kent, C. and Salhi, S. (2004). Flexible on-line Modeling and Control of PH in Waste Neutralisation Reactors. Chemical Engineering & Technology Journal 27:130-138.
Mwembeshi, M., Kent, C. and Salhi, S. (2004). A genetic algorithm based approach to intelligent modelling and control of pH in reactors. Computers and Chemical Engineering [Online] 28:1743-1757. Available at: http://dx.doi.org/10.1016/j.compchemeng.2004.03.002.
Amponsah, S. and Salhi, S. (2004). The investigation of a class of capacitated arc routing problems: the collection of garbage in developing countries. International Journal of Integrated Waste Management, Science and Technology 4:711-721.
Brimberg, J., Mladonovic, N. and Salhi, S. (2004). The Multi-source Weber Problem with Constant Opening. Journal of the Operational Research Society 55:640-646.
Smithies, R., Salhi, S. and Queen, N. (2004). Adaptive Hybrid Learning for Neural Networks. Neural Computation [Online] 16:139-157. Available at: http://dx.doi.org/10.1162/08997660460734038.
Currie, R. and Salhi, S. (2004). A Tabu Search Heuristics for a Full-load Multi-Terminal Vehicle Scheduling Problem with Backhauling and Time Windows. Journal of Mathematical Modelling and Algorithms [Online] 3:225-243. Available at: http://dx.doi.org/10.1023/B:JMMA.0000038616.99798.f2.
Gamal, M. and Salhi, S. (2003). A cellular heuristic for the multisource Weber problem. Computers and Operations Research [Online] 30:1609-1624. Available at: http://dx.doi.org/10.1016/S0305-0548(02)00095-3.
Salhi, S. and Gamal, M. (2003). A Genetic Algorithm Based Approach for the Uncapacitated Continuous Location–Allocation Problem. Annals of Operations Research [Online] 123:203-222. Available at: http://dx.doi.org/10.1023/A:1026131531250.
Petch, R. and Salhi, S. (2003). A multi-phase constructive heuristic for the vehicle routing problem with multiple trips. Discrete Applied Mathematics [Online] 133:69-92. Available at: http://dx.doi.org/10.1016/S0166-218X(03)00434-7.
Currie, R. and Salhi, S. (2003). Exact and Heuristic Methods for a Full-Load, Multi-Terminal Vehicle Scheduling Problem with Backhauling and Time Windows. Journal of the Operational Research Society [Online] 54:390-400. Available at: http://dx.doi.org/10.1057/palgrave.jors.2601534.
Salhi, S. (2002). Defining Tabu List Size and Aspiration Criterion Within Tabu Search Methods. Computers and Operations Research [Online] 29:67-86. Available at: http://dx.doi.org/10.1016/S0305-0548(00)00062-9.
Drezner, Z. and Salhi, S. (2002). Using Hybrid Metaheuristics for the One-Way and Two-Way Network Design Problem. Naval Research Logistics [Online] 49:449-463. Available at: http://10.1002/nav.10026 .
Drezer, T., Drezer, Z. and Salhi, S. (2002). Solving the multiple competitive facilities location problem. European Journal of Operational Research [Online] 142:138-151. Available at: http://dx.doi.org/10.1016/S0377-2217(01)00168-0.
Wade, A. and Salhi, S. (2002). An Investigation into a New Class of Vehicle Routing Problem with Backhauls. Omega [Online] 30:479-487. Available at: http://dx.doi.org/10.1016/S0305-0483(02)00056-7.
James, J. and Salhi, S. (2002). A Tabu Search Heuristic for the Location of Multi-Type Protection Devices on Electrical Supply Tree Networks. Journal of Combinatorial Optimization 6:81-98.
Gamal, M. and Salhi, S. (2001). Constructive Heuristics for the Uncapacitated Continuous Location-allocation Problem. Journal of the Operational Research Society 52:821-829.
Thangiah, S. and Salhi, S. (2001). Genetic Clustering: An Adaptive Heuristic for the Multi Depot Vehicle Routing Problem. Applied Artificial Intelligence [Online] 15:361-383. Available at: http://dx.doi.org/10.1080/08839510151087293 .
Mwembeshi, M., Kent, C. and Salhi, S. (2001). An Approach to Robust and Flexible Modelling and Control of PH in reactors. Chemical Engineering Research and Design [Online] 79:323-334. Available at: http://dx.doi.org/10.1205/026387601750281833.
James, J. and Salhi, S. (2000). The Location of Protection Devices on Electrical Tree Networks: A Heuristic Approach. Journal of the Operational Research Society [Online] 51:959-970. Available at: http://dx.doi.org/10.1057/palgrave.jors.2600992.
Drezner, Z. and Salhi, S. (2000). Using Tabu Search for Designing One and Two Ways Road Networks. Control and Cybernetics Journal 29:725-740.
Salhi, S., Welch, S. and Cuningham-Green, R. (2000). An Enhancement of an Analytical Approach: The Case of the Weighted Maximum Network Location Problem. International Journal of Mathematical Algorithms 1:315-329.
Salhi, S. and Nagy, G. (1999). A Cluster Insertion Heuristic for Single and Multiple Depot Vehicle Routing Problems with Backhauling. Journal of the Operational Research Society [Online] 50:1034-1042. Available at: http://dx.doi.org/10.1057/palgrave.jors.2600808.
Salhi, S. and Nagy, G. (1999). Consistency and Robustness in Location-Routing. Studies in Locational Analysis:3-19.
Drezner, Z., Marcoulides, G. and Salhi, S. (1999). Tabu Search Model Selection in Multiple Regression Analysis. Communication in Statistics: Simulation and Computation 28:349-367.
Nagy, G. and Salhi, S. (1998). The Many-to-Many Location-Routing Problem. TOP (Trabajos de Investigación Operativa) [Online] 6:261-275. Available at: http://dx.doi.org/10.1007/BF02564791.
Thomas, P. and Salhi, S. (1998). A Tabu Search Approach for the Resource Constrained Project Management Problem. Journal of Heuristics [Online] 4:123-139. Available at: http://dx.doi.org/10.1023/A:1009673512884.
Agar, M. and Salhi, S. (1998). Lagrangian Heuristics Applied to a Variety of Large Capacitated Plant Location Problems. Journal of the Operational Research Society [Online] 49:1072-1084. Available at: http://dx.doi.org/10.1057/palgrave.jors.2600621.
Salhi, S. and Sari, M. (1997). A Multi-Level Composite Heuristic for the Multi Depot Vehicle Fleet Mix Problem. EJOR 103:95-112.
Thomas, P. and Salhi, S. (1997). An Investigation into the Relationship of Heuristic Performance with Network-Resource Characteristics. Journal of the Operational Research Society 48:34-43.
Salhi, S. (1997). A Perturbation Heuristic for a Class of Location Problems. Journal of the Operational Research Society 48:1233-1240.
Welch, S. and Salhi, S. (1997). The P-Obnoxious Facility Network Location Problem with Facility Interaction. European Journal of Operational Research [Online] 102:302-319. Available at: http://dx.doi.org/10.1016/S0377-2217(97)00111-2 .
Nagy, G. and Salhi, S. (1996). A Nested Location-Routing Heuristic Using Route Length Estimation. Studies in Locational Analysis:109-127.
Salhi, S. and Fraser, M. (1996). An Intergrated Heuristic Approach for the Combined Location Vehicle Fleet Mix Problem. Studies in Locational Analysis 8:3-22.
Nagy, G. and Salhi, S. (1996). Nested Heuristic Methods for the Location-Routing Problem. Journal of the Operational Research Society 47:1166-1174.
Salhi, S. and Atkinson, R. (1995). SUBDROP: A Modified Drop Heuristic for Location Problems. Location Science [Online] 3:267-273. Available at: http://dx.doi.org/10.1016/0966-8349(96)00003-4.
Salhi, S., Robertson, C. and Cuningham-Green, R. (1995). The Location of Protection Devices in an Electrical Tree Network. Journal of the Operational Research Society 46:1407-1417.
Salhi, S. et al. (1992). Adaptions of Some Vehicle Fleet Mix Heuristics. OMEGA The International Journal of Management Science 20:653-660.
Monograph
Salhi, S., Wilbaut, C. and Hanafi, S. (2008). An Iterative Variable-based Fixation Heuristic for the 0-1 Multidimensional Knapsack Problem. University of Kent Canterbury. Available at: http://www.kent.ac.uk/kbs/research/working-papers.html.
Salhi, S. (2008). A Variable Neighborhood-Based Heuristic for the Heterogeneous Fleet Vehicle Routing Problem. University of Kent Canterbury. Available at: http://www.kent.ac.uk/kbs/research/working-papers.html.
Salhi, S. (2008). An Application of Real Time Vehicle Scheduling: A Case Study. University of Kent Canterbury. Available at: http://www.kent.ac.uk/kbs/research/working-papers.html.
Salhi, S. and Moin, N. (2007). Inventory Routing Problems: A Logical Overview. Kent Business School, University of Kent. Available at: http://www.kent.ac.uk/kbs/pdf/Salhi-and-Moin-No-138.pdf.
Nagy, G. and Salhi, S. (2006). Location-Routing: Issues, Models and Methods. Kent Business School. Available at: http://www.kent.ac.uk/kbs/pdf/Salhi-and-Nagy-No-124.pdf.
Salhi, S. and Zainuddin, Z. (2006). A Perturbation-Based Heuristic for the Capacitated Multisource Weber Problem. Kent Business School. Available at: http://www.kent.ac.uk/kbs/pdf/Salhi-and-Zainuddin-No-120.pdf.
Nagy, G. and Salhi, S. (2003). Heuristic Algorithms for Single and Multiple Depot Vehicle Routing Problems with Pickups and Deliveries. Canterbury Business School.
Conference or workshop item
Azizi, N. and Salhi, S. (2014). Hub-and-Spoke Network Design with Reliability Consideration: A Swarm Optimization Approach. in: 20th Conference of the International Federation of Operational Research Societies (IFORS).
Wassan, N., Salhi, S. and Imran, A. (2013). A Variable Neighborhood Search meta-heuristic for the Multi-Depot Vehicle Routing Problem with Heterogeneous Fleet. in: 3rd Annual International Conference on Operations Research and Statistics (ORS 2013). pp. 113-114.
Salhi, S. and Petrovici, D. (2013). The Effectieness of Threat Appeals. in: 12th European Academy of Advertising Conference.
Wassan, N., Salhi, S. and Hajarat, H. (2012). Fleet Size and Mix Vehicle Routing Problem with Backhauls: A Set Partitioning based Heuristic. in: 2nd Annual International Conference on Operations Research and Statistics (ORS 2012). pp. 132-133.
Brimberg, J. et al. (2011). Variable Neighbourhood Search for the Continuous p-centre Problem. in: 9th Metaheuristics International Conference (MIC2011). pp. 693-695.
Wassan, N., Salhi, S. and Hajarat, H. (2011). The Fleet Size and Mix Vehicle Routing Problem with Backhauls: A Tabu Search-Based Approach. in: The IX Metaheuristics International Conference.
Wassan, N., Salhi, S. and Imran, A. (2009). A variable Neighbourhood Based Heuristic for the Heterogeneous Fleet Vehicle Routing Problem. in: IFORS. pp. 509-518. Available at: http://dx.doi.org/10.1016/j.ejor.2008.07.022.
Wassan, N., Salhi, S. and Nagy, G. (2009). Solving the mixed VRP with backhauling using ants. in: 2nd Global Conference on Power Control and Optimization. IOP Institute of Physics, pp. 248-253. Available at: http://dx.doi.org/10.1063/1.3223937.
Salhi, S. et al. (2009). Hybrid data mining metaheuristic for the p median problem. in: SIAM conference. SIAM.
Wassan, N., Nagy, G. and Salhi, S. (2005). Local Improvement in Planner facility location using Vehicle Routing. in: International symposium on Locational Decisions.
Salhi, S., Llods, L. and Johnston, R. (2004). Development of a Genetic Algorithm for Optimization of Nanoalloys. in: Lectures Notes in Computer Science. GECCO 2004, Seattle, pp. 1136-1137.
Salhi, S., Smithies, R. and Queen, N. (2003). Adaptive Learning for Neural Network. in: 5th International Conference on Metaheuristics. Springer, pp. 671-676.
Nagy, G. and Salhi, S. (2002). Modelling Considerations in Location-Routing. in: ECCO-XV.
Salhi, S. and Wade, A. (2001). An Ant System Algorithm for the Vehicle Routing Problem with Backhauls. in: 4th International Conference on Metaheuristics. MIC2001, pp. 199-203. Available at: http://143.129.203.3/eume/MIC2001/MIC2001_199_204.pdf.
Salhi, S. and Drezner, Z. (1998). Selecting an Optimum Configuration of One Way and Two Ways Routes Using Tabu Search. in: RIMS (Research Institute of Mathematical Sciences) Symposium on Theory and Applications of Mathematical Optimization. pp. 203-215.
Salhi, S., Drezner, Z. and Marcoulides, G. (1998). Tabu Search Model Selection in Multiple Regression. in: Twenty Seventh Western DSI Conference. pp. 488-490.
Salhi, S. and Sari, M. (1995). A Heuristic Approach for the Multi-Depot Vehicle Fleet Mix Problem. in: ADT '95. pp. 139-154.
Salhi, S. and Osman, I. (1994). Heuristics for the Vehicle Fleet Mix Problem. in: TRISTAN II. pp. 67-71.
Salhi, S. and Rand, G. (1993). Incorporating Vehicle Routing into the Vehicle Fleet Composition Problem. in: 1989 Annual Conf of The Operations Research Soc. pp. 313-330.
Showing 132 of 136 total publications in KAR. [See all in KAR]
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Research Interests

Professor Salhi's research interests include:

  • Heuristic optimisation (design of constructive and multi-level heuristics, simulated annealing, tabu search, genetic algorithm, ant systems, variable neighbourhood, threshold accepting, neural network) and their implementation in practice (management, finance, engineering, environment, medicine).
  • Distribution management (vehicle routing, location, transportation, their variants)
  • Real-time scheduling and GIS
  • Integration of heuristic and exact methods
  • Robust optimisation
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Teaching

Professor Salhi convenes and teaches the following:

  • Introduction to Linear Programming and its Applications (Undergraduate - CB668)
  • Logistics and Supply Chain Management (MSc - CB996)
  • Warehousing and Transportation Management (MSc - CB9058)

Professor Salhi also contributes to Contemporary Topics in Logistic and Supply Chain Management (MSc - CB802), Business Modelling (MBA - CB9035), MSc dissertation (CB9057).

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Professional

Said is a fellow of the OR Society, a member of COPIOR, the IMA and CILT and Associate Editor of the IMA Journal of Management Mathematics.

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Supervision

Current Supervisees
  • Norfaieqah Ahmad: The multi-objective routing with an emphasis on economic and environmental factors (Malaysian Government, 1st supervisor, Sept 2013)
  • Becky Callaghan: An Investigation into Exact Methods for the Continuous P-Centre Problem
  • Angus Furneaux: Intelligent Optimization for Sustainable Green Supply Chain and Transport Logistics Management Systems
  • Jeeu Fong Sze: An Investigation into a Class of Real-time Routing Problems
  • Naveed Wassan: Meta-Heuristics for the Multiple Trip Vehicle Routing Problem with Backhauls 
Past Supervisees
  • Abdalla Elshaikh: P-Center Location Problem in the Continuous Space (Lybian Government, 1st supervisor, submitted)
  • Ifelere Baale: Portfolio Optimisation (Private, 1st supervisor)
  • Chandra Ade Irawan: Aggregation Technique in a Class of Location Problems (Indonesian Government, 1st supervisor)
  • Nurul Huda Mohamed (2012): Hybridisation of Heuristics and Exact Methods for Split delivery Vehicle Routing Problem [Malaysian Government] (2nd supervisor: Dr Gabor Nagy)
  • Abdullah Alharbi (2010): Combining Heuristic and Exact Approach for the Vertex P-Centre Problem and Other Related Location Problems (2nd supervisor: Dr Paola Scaparra)
  • Shaikh Arifusalam (2010): The Maximum capture problem: Models solution Approaches
  • Mutaz Hajarat (2010): Heuristics for the fleet size and mix vehicle routing  problem with backhauls (with Dr Niaz Wassan)
  • Martino Luis (2008): Metaheuritics for the Capacitated Multi-source Weber Problem [Indonesian Government] with Dr Gabor Nagy
  • Arif Imran (2008): An Adaptation of Meta-Heuristics for the Single and the Multiple Depots Heterogenous Fleet Routing Problems [Indonesian Government] with Dr Niaz Wassan
  • A. Shuib (2007): The Multi Level and Threshold-Based Heuristics for the Vehicle Routing Problem with Time Windows [Malaysian Government]
  • Claudia Reyles-Montrel (2005): Integrating time-tabling and room-allocation: An application to the case of Birmingham University; [Private] (M.Phil)
  • Robert Smithie (09/2000-09/2004): Embedding Genetic Algorithms with Artificial Neural Network: Application to Colorectal Cancer Recurrence; [EPSRC] with Nat Queen.
  • Abdelrahman Al-Kedhairi (05/2000-08/2004): Integrating exact methods and variable neighbourhood search for the p-centre problem [Saudi Government].
  • Zaitul Marlizawati (09/2000-07/2004): The Capacitated Continuous Location-Allocation Problem using constructive and tabu search; [Malaysian Government].
  • Samuel K Amponsah (01/2000-09/2003): The investigation of a class of capacitated arc routing: The collection of Garbage in developing countries; [Government of Ghana].
  • Robert H Currie (12/1999-12/2002): Full load transport scheduling with multiple depots and time windows: exact and heuristic approaches; [Case Studentship-EPSRC/RMC].
  • M. M. Mwembeshi (1999-2003): Soft computing for modelling and control of pH in reactor [ORS/School of Chemical Engineering, first supervisor Dr Chris Kent]
  • T.Lee (1999): Real time optimisation for road stone production (MPhil) [RMC Ltd]
  • Anne C Wade (10/1998-05/2002): Constructive heuristics and Ant colony optimisation for a class of VRP with backhauling; [EPSRC].
  • Danil Gamal (10/1997-05/2001): Constructive and GA based heuristics for the location-allocation problem on continuous space; [Indonesian Government].
  • Russel Petch (10/1997-03/2001): Constructive and population based heuristics for the vehicle routing problem with multi-trips; [School].
  • Steve Welch (10/1994-07/1999): The Obnoxious Facility Location Problem; [EPSRC].
  • Charlie James (10/1995-05/1999): Location of protection devices on tree network with arc dependency: application to electrical tree networks; [School].
  • Samresh Khan (1997): Heuristic search methods for the vehicle routing problem with time windows; [School] (M.Phil).
  • Mark Agar (10/1994-11/1997): Lagrangian heuristic/genetic algorithms for a variety of capacitated location problems; [School/EPSRC].
  • Gabor Nagy (10/1993-08/1996): Nested heuristic approaches for the combined location routing problem; [ORS grant/School]
  • Paul Thomas (10/1993-07/1996): Project management with limited resources; [EPSRC]
  • Craig Robertson (1992): The location of safety devices on the West Midlands Electrical network [Midland Electricity Board]; (MSc by Research)
  • Jeeu Fong Sze (2013): Manpower Rostering at Malaysia International Airport: A Hybridisation of Heuristic and Exact Method (Malaysian Government, 1st supervisor, Sept 2013)

     

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Last Updated: 21/06/2016