A bee colony optimization (BCO) and type-2 fuzzy approach to measuring the impact of speed perception on motor vehicle crash involvement
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-021-06516-4.pdf
Reference113 articles.
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3. Ab Talib MH, Mat Darus IZ, Mohd Samin P (2019) Fuzzy logic with a novel advanced firefly algorithm and sensitivity analysis for semi-active suspension system using magneto-rheological damper. J Ambient Intell Humaniz Comput 10(8):3263–3278. https://doi.org/10.1007/s12652-018-1044-4
4. Ajithapriyadarsini S, Mary PM, Iruthayarajan MW (2019) Automatic generation control of a multi-area power system with renewable energy source under deregulated environment: adaptive fuzzy logic-based differential evolution (DE) algorithm. Soft Comput 23(22):12087–12101. https://doi.org/10.1007/s00500-019-03765-2
5. Aldair AA, Rashid AT, Rashid MT, Alsaedee EB (2019) Adaptive fuzzy control applied to seven-link biped robot using ant colony optimization algorithm. Iran J Sci Technol Trans Electr Engg 43(3):797–811. https://doi.org/10.1007/s40998-019-00201-x
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