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Artificial intelligence based commuter behaviour profiling framework using Internet of things for real-time decision-making., , , , , , , , , and . Neural Comput. Appl., 32 (20): 16057-16071 (2020)GSIC: A New Interpretable System for Knowledge Exploration and Classification., , , and . IEEE Access, (2020)Online Incremental Machine Learning Platform for Big Data-Driven Smart Traffic Management., , , , , , , , and . IEEE Trans. Intell. Transp. Syst., 20 (12): 4679-4690 (2019)Enhancing Heuristics for Order Acceptance and Scheduling Using Genetic Programming., , , and . SEAL, volume 8886 of Lecture Notes in Computer Science, page 723-734. Springer, (2014)A hybrid discrete particle swarm optimisation method for grid computation scheduling., , and . IEEE Congress on Evolutionary Computation, page 483-490. IEEE, (2014)Optimization, dispatching rules and hyper-heuristics: A comparison in dynamic single machine scheduling.. IECON, page 4796-4801. IEEE, (2017)Evolutionary Multitask Optimisation for Dynamic Job Shop Scheduling Using Niched Genetic Programming., , , , and . Australasian Conference on Artificial Intelligence, volume 11320 of Lecture Notes in Computer Science, page 739-751. Springer, (2018)A PSO-based hyper-heuristic for evolving dispatching rules in job shop scheduling., and . CEC, page 882-889. IEEE, (2017)Phenotype Based Surrogate-Assisted Multi-objective Genetic Programming with Brood Recombination for Dynamic Flexible Job Shop Scheduling., , , and . SSCI, page 1218-1225. IEEE, (2022)Automatic Design of Scheduling Policies for Dynamic Multi-objective Job Shop Scheduling via Cooperative Coevolution Genetic Programming., , , and . IEEE Trans. Evol. Comput., 18 (2): 193-208 (2014)