An artificial intelligence-based optimization framework for the optimal composition and thermomechanical processing schedule for specialized micro-alloyed multiphase steels
Author:
Affiliation:
1. Department of Mechanical Engineering, McMaster University, Hamilton, ON, Canada
2. Department of Mechanical Engineering, W Booth School of Engineering Practice and Technology, McMaster University, Hamilton, ON, Canada
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/0305215X.2024.2354313
Reference42 articles.
1. Ackley, D. H. 1987. A Connectionist Machine for Genetic Hill Climbing, 13–14. Boston, MA: Kluwer Academic Publishers.
2. Adeli H. and K. C. Sarma. 2006. “Cost Optimization of Structures: Fuzzy Logic Genetic Algorithms and Parallel Computing”. Wiley.com. Accessed February 21 2023. [Online]. https://www.wiley.com/en-us/Cost+Optimization+of+Structures%3A+Fuzzy+Logic%2C+Genetic+Algorithms%2C+and+Parallel+Computing-p-9780470867341.
3. Al-Roomi A. R. 2015. “Unconstrained Single-Objective Benchmark Functions Repository.” Halifax Nova Scotia Canada: Dalhousie University Electrical and Computer Engineering. https://www.al-roomi.org/benchmarks/unconstrained.
4. Estimating the Effects of Heat Treatment on Aluminum Alloy with Artificial Neural Networks
5. Classification and Designation of Carbon and Low-Alloy Steels
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