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A survey of dynamic pickup and delivery problems.

, , , , , и . Neurocomputing, (октября 2023)

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Qingling Feng

Zhu Dahe

Ming Zhu

Junjiang Zhu

Zhu Dai

 

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A novel hybrid multi-objective immune algorithm with adaptive differential evolution., , , , , и . Comput. Oper. Res., (2015)Multi-agent deep Q-network-based metaheuristic algorithm for Nurse Rostering Problem., , , , , , и . Swarm Evol. Comput., (2024)A Pareto dominance relation based on reference vectors for evolutionary many-objective optimization., , , , , , и . Appl. Soft Comput., (2024)VCformer: Variable Correlation Transformer with Inherent Lagged Correlation for Multivariate Time Series Forecasting., , и . CoRR, (2024)An Elite Archive-Based MOEA/D Algorithm., , и . SEAL, том 10593 из Lecture Notes in Computer Science, стр. 236-247. Springer, (2017)An Efficient Multi-objective Evolutionary Algorithm for a Practical Dynamic Pickup and Delivery Problem., , , , , и . ICIC (1), том 13393 из Lecture Notes in Computer Science, стр. 27-40. Springer, (2022)MOEA/D with Two Types of Weight Vectors for Handling Constraints., , , и . CEC, стр. 1359-1365. IEEE, (2019)A Kriging model-based evolutionary algorithm with support vector machine for dynamic multimodal optimization., , , , , и . Eng. Appl. Artif. Intell., (2023)Adaptive Evolutionary Reinforcement Learning Algorithm with Early Termination Strategy., , , , и . AAMAS, стр. 1947-1955. ACM, (2024)An adaptive immune-inspired multi-objective algorithm with multiple differential evolution strategies., , , , , , и . Inf. Sci., (2018)