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Michael Anderson REFERENCES
Akhtar, M. et al., 2016. Backtracking search algorithm in CVRP models for efficient solid waste collection and route optimization. Waste Management.
Cabrera-Ruiz, J. et al., 2011. Evaluation of Stochastic Global Optimization Methods in the Design of Complex Distillation Configurations. In: L. Dritsas, ed. Stochastic Optimization - Seeing the Optimal for the Uncertain. Rijeka: INTECH, pp. 441-456.
Carr, M. & Verner, J., 2014. Prototyping and Software Development Approaches, s.l.:
s.n.
Clarke, G. & Wright, J. W., 1964. Scheduling of Vehicles from a Central Depot to a Number of Delivery Points. Operations Research, 12(4), pp. 568-581.
Dantzig, G. B. & Ramser, J. H., 1959. The Truck Dispatching Problem. Management Science, 6(1), pp. 80-91.
Dhaenens, C. & Jourdan, L., 2016. Metaheuristics for Big Data. 1st ed. London: ISTE Ltd and John Wiley & Sons, Inc..
Fera, M. et al., 2013. Production Scheduling Apporaches for Operations Management.
s.l.:INTECH.
He, Y., Miao, W., Xie, R. & Shi, Y., 2014. A Tabu Search Algorithm with Variable Cluster Grouping for Multi-depot Vehicle Routing Problem. s.l., IEEE.
Jain, H., 2017. Problems Solving in Data Structures & Algorithms Using C#. 1st ed.
Bhopal: Hemant Jain.
Kwarteng, S. O., 2011. Private Sector Involvement in Urban Solid Waster. 1st ed. Boca Raton: Taylor & Francis Group.
Laporte, G., 2009. Fifty Years of Vehicle Routing. Transportation Science, 43(4), pp.
408-416.
VEHICLE ROUTING PROBLEM IN A MEDICAL FACILITY WASTE COLLECTION Page 96 of 100
COMPANY: A COMPARATIVE ANALYSIS OF GUIDED LOCAL SEARCH, SIMULATED ANNEALING AND TABU SEARCH ALGORITHM
Michael Anderson Liang, Y. D., 2013. Introduction to Programming using Python. 1st ed. New Jersey:
Pearson.
Moraga, R. J., 2016. Metaheuristic for Randomized Priority Search (Meta-RaPS): A Tutorial. In: G. Rabadi, ed. Heuristics, Metaheuristics and Approximate Methods in Planning and Scheduling. Illinois: Springer International Publishing Switzerland, pp.
95-108.
Nikolaev, A. G. & Jacobson, S. H., 2010. Simulated Annealing. In: M. Gendreau & J.
Potvin, eds. Handbook of Metaheuristics. London: Springer, pp. 1-39.
Peh, S. C. W. & Hong, J. L., 2016. GLSDock-Drug Design Using Guided Local Search.
In: O. G. e. al., ed. Computational Science and Its Applications. Beijing: Springer, pp.
11-21.
Pereira, F. B. & Tavares, J., 2009. Bio-inspired Algorithms for the Vehicle Routing Problem. 161 ed. Berlin: Springer.
Quesnelle, J., 2015. A comparison of Guided Local Search and NSGA-III for solving
multi-objective optimization problems. [Online]
Available at: http://jeffq.com/
[Accessed 11 April 2018].
Rothlauf, F., 2011. Design of Modern Heuristics. 1st ed. Berlin: Springer.
Sabale, R. G. & Dani, A. R., 2012. Comparative Study of Prototype Model For Software. IOSR Journal of Engineering, 2(7), pp. 21-24.
SIAM, 2015. Vehicle routing : problems, methods, and applications. 2nd ed.
Philadelphia: Mathematical Optimization Society and Society for Industrial and Applied Mathematics.
Silvestrin, P. V. & Ritt, M., 2016. An Iterated Tabu Search for the Multi-compartment Vehicle Routing Problem. Computers and Operations Research.
VEHICLE ROUTING PROBLEM IN A MEDICAL FACILITY WASTE COLLECTION Page 97 of 100
COMPANY: A COMPARATIVE ANALYSIS OF GUIDED LOCAL SEARCH, SIMULATED ANNEALING AND TABU SEARCH ALGORITHM
Michael Anderson Tarantilis, C. D., Zachariadis, E. E. & Kiranoudis, C. T., 2008. A Hybrid Guided Local Search for the Vehicle-Routing Problem with Intermediate Replenishment Facilities.
INFORMS Journal on Computing, 20(1), pp. 154-168.
Yang, X. S., 2018. Nature-Inspired Algorithms and Applied Optimization. 1st ed.
London: Springer.
Yu, V. F., A.A.N., P. R., Agustina, Y. & Wibowo, O. J., 2016. A Simulated Annealing Heuristic for the Hybrid Vehicle Routing Problem. Applied Soft Computing.