Socio-inspired optimization methods for advanced manufacturing processes [electronic resource]

• 作者： Shastri, Apoorva.
• 其他作者：
  • Nargundkar, Aniket.
  • Kulkarni, Anand J.
  • SpringerLink (Online service)
• 其他題名：
  • Springer series in advanced manufacturing.
• 出版： Singapore : Springer Singapore :Imprint: Springer
• 叢書名： Springer series in advanced manufacturing,
• 主題： Manufacturing processes--Mathematical models. , Manufacturing processes--Computer simulation. , Manufacturing, Machines, Tools, Processes. , Artificial Intelligence. , Computational Intelligence. , Optimization.
• ISBN： 9789811577970 (electronic bk.) 、 9789811577963 (paper)
• FIND@SFXID: CGU
• 資料類型: 電子書
• 內容註: Introduction -- A Brief Review of Socio-Inspired Metaheuristics -- Multi Cohort Intelligence Algorithm -- Optimization of Electric Discharge Machining (EDM) -- Optimization of Abrasive Water Jet Machining (AWJM) -- Optimization of Micro Milling Process -- Optimization of Micro Drilling Process -- Optimization of Cutting Forces in Micro Drilling of CFRP Composites for Aerospace Applications -- Optimization of Micro Turning Process -- Optimization of Machining Process Parameters of Titanium Alloy Under (MQL) Environment.
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• 摘要註: This book discusses comprehensively the advanced manufacturing processes, including illustrative examples of the processes, mathematical modeling, and the need to optimize associated parameter problems. In addition, it describes in detail the cohort intelligence methodology and its variants along with illustrations, to help readers gain a better understanding of the framework. The theoretical and statistical rigor is validated by comparing the solutions with evolutionary algorithms, simulation annealing, response surface methodology, the firefly algorithm, and experimental work. Lastly, the book critically reviews several socio-inspired optimization methods.
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