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Correction to: Mathematical modeling and intelligent optimization of submerged arc welding process parameters using hybrid PSO-GA evolutionary algorithms

机译：校正：使用混合PSO-GA进化算法的淹没电弧焊接工艺参数的数学建模与智能优化

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Ankush Choudhary; Manoj Kumar; Munish Kumar Gupta; Deepak Rajendra Unune; Mozammel Mia;
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1. Mathematical modeling and intelligent optimization of submerged arc welding process parameters using hybrid PSO-GA evolutionary algorithms (vol 12, pg 861, 2020) [J] . Choudhary Ankush, Kumar Manoj, Gupta Munish Kumar, Neural computing & applications . 2020,第15期

机译：混合PSO-GA进化算法淹没电弧焊接工艺参数的数学建模与智能优化（Vol 12，PG 861,2020）
2. Mathematical modeling and intelligent optimization of submerged arc welding process parameters using hybrid PSO-GA evolutionary algorithms [J] . Choudhary Ankush, Kumar Manoj, Gupta Munish Kumar, Neural computing & applications . 2020,第10期

机译：混合PSO-GA进化算法淹没电弧焊接工艺参数的数学建模与智能优化
3. A novel hybrid intelligent optimization model for twin wire tandem co-pool high-speed submerged arc welding of steel plate [J] . Kuanfang HE, Dongming XIAO Journal of Advanced Mechanical Design, Systems, and Manufacturing . 2015,第2期

机译：钢板双丝串联共池高速埋弧焊的新型混合智能优化模型
4. Mathematical Modelling of Heat Affected Zone Width in Submerged Arc Welding Process [C] . Anshul Yadav, Aniruddha Ghosh, Priya Gupta, 2018 International Conference on Computational and Characterization Techniques in Engineering amp; Sciences . 2018

机译：埋弧焊热影响区宽度的数学建模
5. Effect of Submerged Arc Welding Parameters on the Microstructure of SA516 and A709 Steel Welds. [D] . Amanie, James. 2011

机译：埋弧焊参数对SA516和A709钢焊缝组织的影响。
6. Intelligent Optimization of Hard-Turning Parameters Using Evolutionary Algorithms for Smart Manufacturing [O] . Mozammel Mia, Grzegorz Królczyk, Radosław Maruda, 2019

机译：基于进化算法的硬制造智能优化智能制造
7. Hybrid Intelligent Modeling for Optimizing Welding Process Parameters for Reduced Activation Ferritic-Martensitic (RAFM) Steel [O] . Jayakumar Tamanna, Chandrasekhar Neelamegam, Vishnuvardhan Sapineni, 2013

机译：混合智能建模，可优化低活化铁素体-马氏体（RAFM）钢的焊接工艺参数

Correction to: Mathematical modeling and intelligent optimization of submerged arc welding process parameters using hybrid PSO-GA evolutionary algorithms

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