Chaotic vegetation evolution: leveraging multiple seeding strategies and a mutation module for global optimization problems
Author:
Funder
JST SPRING
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Cognitive Neuroscience,Computer Vision and Pattern Recognition,Mathematics (miscellaneous)
Link
https://link.springer.com/content/pdf/10.1007/s12065-023-00892-6.pdf
Reference94 articles.
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3. Yu J (2022) Vegetation evolution: an optimization algorithm inspired by the life cycle of plants. Int J Comput Intell Appl. https://doi.org/10.1142/S1469026822500109
4. Mehrpanahi A, Hamidavi A, Ghorbanifar A (2018) A novel dynamic modeling of an industrial gas turbine using condition monitoring data. Appl Therm Eng 143:507–520. https://doi.org/10.1016/j.applthermaleng.2018.07.081
5. Xiao Q, Li C, Tang Y, Pan J, Yu J, Chen X (2019) Multi-component energy modeling and optimization for sustainable dry gear hobbing. Energy 187:115911. https://doi.org/10.1016/j.energy.2019.115911
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