Objective functions and solving methods for PVRP problems with time windows, multiple depots, and a heterogeneous fleet. by Alejandro Arenas-Vasco (19797133)

Extent of sub-optimality and solve time for the three methods Troika, Combo, and Gurobi IP on the BA instances. by Samin Aref (22226678)

The Language of Numbers: Reading Comprehension and Applied Math Problem-Solving by Dana Sury (22153582)

“…</li><li><b>AMP</b>: Raw score on the Applied Math Problem-Solving subtest from the KeyMath-3 Diagnostic Assessment (translated to Hebrew). …”

S1 File - A mixed-integer linear programming method for time-dependent line planning in passenger railway systems by Xin Shi (139139)

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Two comparative performance measures for the three methods Troika, Combo, and Gurobi IP on the ABR benchmark dataset: (a) Extent of sub-optimality, (b) solve time. by Samin Aref (22226678)

Two comparative performance measures for the three methods Troika, Combo, and Gurobi IP on the clusedit benchmark dataset: (a) Extent of sub-optimality, (b) solve time. by Samin Aref (22226678)

Two comparative performance measures for the three methods Troika, Combo, and Gurobi IP on the correlation benchmark dataset: (a) Extent of sub-optimality, (b) solve time. by Samin Aref (22226678)

Two comparative performance measures for the three methods Troika, Combo, and Gurobi IP on the equicut benchmark dataset: (a) Extent of sub-optimality, (b) solve time. by Samin Aref (22226678)

Problem statement. by Jinqu Chen (20258031)

Pareto frontier solution solving process. by Yuhang Wang (332111)

“…Fairness is innovatively quantified as an independent optimization objective, and a standard deviation-based dynamic resource allocation balance index is proposed, which combines multi-warehouse collaborative supply and multi-resource coupling constraint mechanism to systematically solve the problem of trade-offs between timeliness, adequacy and fairness in emergency dispatching in chemical accidents. …”

Solution of a practical vehicle routing problem for monitoring water distribution networks by Reza Atefi (17700631)

“…The key must then be returned to the same key centre after the test has been performed, thus introducing precedence constraints and multiple visits in the routes. To solve the problem, a Mixed Integer Linear Programming model and an Iterated Local Search have been implemented. …”

Variation of the business times of each station. by Xin Shi (139139)

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Distribution of Ave LF for all operated trains. by Xin Shi (139139)

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Variation curves of the CPU time with gap for the 17^th case. by Xin Shi (139139)

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Computational results of the MILP model. by Xin Shi (139139)

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Variation curve of the relevant factors of the input and output data. by Xin Shi (139139)

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Distribution of average waiting time and average load factor. by Xin Shi (139139)

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Extension of a getting-off arc considering time dimension. by Xin Shi (139139)

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The correlation between the Ave time and Ave LF of each train. by Xin Shi (139139)

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Computational results of different passenger service capacities. by Xin Shi (139139)

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