LiBOG: Lifelong Learning for Black-Box Optimizer Generation.
CoRR, May, 2025
Learning from Offline and Online Experiences: A Hybrid Adaptive Operator Selection Framework.
Proceedings of the Genetic and Evolutionary Computation Conference, 2024
Evolving Constrained Reinforcement Learning Policy.
Proceedings of the International Joint Conference on Neural Networks, 2023
Local Optima Correlation Assisted Adaptive Operator Selection.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
An Investigation of Adaptive Operator Selection in Solving Complex Vehicle Routing Problem.
Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022
Learning Boosts Optimisation: Surrogate-Assisted Real Engine Calibration.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Bi-Objective Splitting Delivery VRP with Loading Constraints and Restricted Access.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
D-MAENS2: A Self-adaptive D-MAENS Algorithm with Better Decision Diversity.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
An Extendable Platform for Routing Problem: Optimisation, Evaluation and Solution Visualisation.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020