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Energy-efficient multi-objective distributed assembly permutation flowshop scheduling by Q-learning based meta-heuristics

Hui, Yu; Gao, Kaizhou; Li, Zhiwu; Suganthan, Ponnuthurai Nagaratnam ( Elsevier , 2024 , Article)

This study addresses energy-efficient multi-objective distributed assembly permutation flowshop scheduling problems with minimisation of maximum completion time, mean of earliness and tardiness, and total carbon emission ...

Prediction and Feedback Assisted Evolutionary Algorithms for Scheduling Urban Traffic Signals

Lin, Zhongjie; Gao, Kaizhou; Duan, Peiyong; Wu, Naiqi; Suganthan, Ponnuthurai Nagaratnam ( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2025 , Article)

With the acceleration of urbanization, the traffic congestion issue is becoming more and more prominent in large cities. The effective scheduling of urban traffic signals becomes critical. This study proposes three novel ...