A fast convergence EO-based multi-objective optimization algorithm using archive evolution path and its application to engineering design problems
Author:
Publisher
Springer Science and Business Media LLC
Subject
Hardware and Architecture,Information Systems,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s11227-023-05362-5.pdf
Reference53 articles.
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2. Ivanov SY, Ray AK (2016) Application of multi-objective optimization in the design and operation of industrial catalytic reactors and processes. Phys Sci Rev. https://doi.org/10.1515/psr-2015-0017
3. Abitha R, Vennila SM, Zaheer IM (2022) Evolutionary multi-objective optimization of artificial neural network for classification of autism spectrum disorder screening. J Supercomput 78:11640–11656. https://doi.org/10.1007/s11227-021-04268-4
4. Cao L, Liu Y (2022) Optimization design and research of simulation system for urban green ecological rainwater by genetic algorithm. J Supercomput 78:11318–11344. https://doi.org/10.1007/s11227-021-04192-7
5. Li S, Chen H, Wang M, Heidari A, Mirjalili S (2020) Slime mould algorithm: a new method for stochastic optimization. Future Gener Comput Syst 111:300–323. https://doi.org/10.1016/j.future.2020.03.055
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