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Pankaj Gupta, Kannan Govindan, Mukesh Kumar Mehlawat & Anisha Khaitan. (2022) Multiobjective capacitated green vehicle routing problem with fuzzy time-distances and demands split into bags. International Journal of Production Research 60:8, pages 2369-2385.
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Chenhao Zhou, Jingxin Ma, Louis Douge, Ek Peng Chew & Loo Hay Lee. (2023) Reinforcement Learning-based approach for dynamic vehicle routing problem with stochastic demand. Computers & Industrial Engineering 182, pages 109443.
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Bahar ShahverdiElise Miller-Hooks. (2023) Scheduling Inspection and Restoration Action in Postdisaster Critical Lifeline Recovery through Stochastic Optimization with Endogenous Uncertainty. Natural Hazards Review 24:1.
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Nilay Noyan, Gábor RudolfMiguel Lejeune. (2022) Distributionally Robust Optimization Under a Decision-Dependent Ambiguity Set with Applications to Machine Scheduling and Humanitarian Logistics. INFORMS Journal on Computing 34:2, pages 729-751.
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Wei Feng, Yiping Feng & Qi Zhang. (2021) Multistage robust mixed-integer optimization under endogenous uncertainty. European Journal of Operational Research 294:2, pages 460-475.
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Jose Escribano Macias, Nils Goldbeck, Pei-Yuan Hsu, Panagiotis Angeloudis & Washington Ochieng. (2020) Endogenous stochastic optimisation for relief distribution assisted with unmanned aerial vehicles. OR Spectrum 42:4, pages 1089-1125.
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Yuxin Liu, Yi Mei, Mengjie Zhang & Zili Zhang. (2020) A Predictive-Reactive Approach with Genetic Programming and Cooperative Coevolution for the Uncertain Capacitated Arc Routing Problem. Evolutionary Computation 28:2, pages 289-316.
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F. Hooshmand, S.A. MirHassani & A. Akhavein. (2018) Adapting GA to solve a novel model for operating room scheduling problem with endogenous uncertainty. Operations Research for Health Care 19, pages 26-43.
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He-Yau Kang & Amy Lee. (2018) An Enhanced Approach for the Multiple Vehicle Routing Problem with Heterogeneous Vehicles and a Soft Time Window. Symmetry 10:11, pages 650.
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Brianna Christian & Selen Cremaschi. (2017) A branch and bound algorithm to solve large‐scale multistage stochastic programs with endogenous uncertainty. AIChE Journal 64:4, pages 1262-1271.
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F. Hooshmand & S. A. MirHassani. (2017) Reduction of nonanticipativity constraints in multistage stochastic programming problems with endogenous and exogenous uncertainty. Mathematical Methods of Operations Research 87:1, pages 1-18.
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Robert M. Apap & Ignacio E. Grossmann. (2017) Models and computational strategies for multistage stochastic programming under endogenous and exogenous uncertainties. Computers & Chemical Engineering 103, pages 233-274.
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