Research on multi-objective forest harvesting strategies based on NSGA-II genetic algorithm

Ziyi Chen; Juncheng Shen; Jihong Zhu

doi:10.1117/12.3007069

25 October 2023 Research on multi-objective forest harvesting strategies based on NSGA-II genetic algorithm

Ziyi Chen, Juncheng Shen, Jihong Zhu

Proceedings Volume 12801, Ninth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2023); 1280167 (2023) https://doi.org/10.1117/12.3007069
Event: Ninth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2023), 2023, Dalian, China

Abstract

This study applies the NSGA-II genetic algorithm to investigate multi-objective forest harvesting strategies. Initially, a method is proposed to determine the optimal harvest age for maximizing carbon sequestration objectives, based on the concepts of the CO2FIX model and the Intec model. Subsequently, a multi-objective model is established to generate stand-level harvest plans according to specific objective conditions. Lastly, the study concludes with a discussion of future research directions.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Ziyi Chen, Juncheng Shen, and Jihong Zhu "Research on multi-objective forest harvesting strategies based on NSGA-II genetic algorithm", Proc. SPIE 12801, Ninth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2023), 1280167 (25 October 2023); https://doi.org/10.1117/12.3007069

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