A digital-twin-based adaptive multi-objective Harris Hawks Optimizer for dynamic hybrid flow green scheduling problem with dynamic events

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Yankai Wang, Shilong Wang, Wenhan Yang, Chunfeng Shen, Junliang Li

Published: 2023, Last Modified: 07 Sept 2025Appl. Soft Comput. 2023EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•A dynamic digital-twin-based multi-objective hybrid flow green scheduling model with dynamic events (DEs) (MOHFGSM-DEs).•MOHFGSM-DEs adaptively optimize the energy consumption and production efficiency of digital production line under DEs.•An adaptive multi-objective Harris Hawks Optimizer (AMODHHO) by combining DEs sensed by digital-twin and multiple strategies.•Compared with SPEA2 and NSGA-II, results of experiments and applications prove AMODHHO’s effectiveness.•MOHFGSM-DEs and AMODHHO avoid unplanned shutdowns of digital-twin-based unmanned production lines.