Forest efficiency decision-making model based on linear weighted multi-objective genetic algorithm

Authors

  • Xin Yan
  • Ruobing Qiu
  • Jingxuan Yang

DOI:

https://doi.org/10.54097/hset.v23i.3122

Keywords:

Ecological economic and social factors, The length of the optimal rotation model, Genetic algorithm.

Abstract

It can not be negligible that climate change is a dire threat to countless people due to the development of our society and technology.To draw the applied range of the decision-making model of forest management plan, we set up Linear-weighted multi-objective genetic algorithm according to the ecological, economic and social factors of the forest ecosystem and determine the different weight of each factor through the entropy weight method.finally, we select the Pennsylvania Forest as an example to test our model.

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References

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Published

03-12-2022

How to Cite

Yan, X., Qiu, R., & Yang, J. (2022). Forest efficiency decision-making model based on linear weighted multi-objective genetic algorithm. Highlights in Science, Engineering and Technology, 23, 18-24. https://doi.org/10.54097/hset.v23i.3122