Corrigendum to 'Diesel engine optimization with multi-objective performance characteristics by non-evolutionary Nelder-Mead algorithm: Sobol sequence and Latin hypercube sampling methods comparison in DoE process' [Fuel 228 (2018) 349-307]

Navid Ali; Khalilarya Shahram; Abbasi Mohammad

首页> 外文期刊>Fuel >Corrigendum to 'Diesel engine optimization with multi-objective performance characteristics by non-evolutionary Nelder-Mead algorithm: Sobol sequence and Latin hypercube sampling methods comparison in DoE process' [Fuel 228 (2018) 349-307]

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Corrigendum to 'Diesel engine optimization with multi-objective performance characteristics by non-evolutionary Nelder-Mead algorithm: Sobol sequence and Latin hypercube sampling methods comparison in DoE process' [Fuel 228 (2018) 349-307]

机译：“通过非进化型Nelder-Mead算法优化具有多目标性能特征的柴油机：在DoE过程中比较Sobol序列和拉丁超立方体采样方法”的更正[燃料228（2018）349-307]

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来源
《Fuel》 |2019年第1期|659-659|共1页
作者
Navid Ali; Khalilarya Shahram; Abbasi Mohammad;
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作者单位

Urmia Univ, Dept Mech Engn, Fac Engn, Orumiyeh, Iran;

Urmia Univ, Dept Mech Engn, Fac Engn, Orumiyeh, Iran;

Urmia Univ, Dept Mech Engn, Fac Engn, Orumiyeh, Iran;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
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1. Diesel engine optimization with multi-objective performance characteristics by non-evolutionary Nelder-Mead algorithm: Sobol sequence and Latin hypercube sampling methods comparison in DoE process [J] . Navid Ali, Khalilarya Shahram, Abbasi Mohammad Fuel . 2018,第SEPa15期

机译：非进化Nelder-Mead算法优化具有多目标性能特征的柴油机：DoE过程中Sobol序列和Latin超立方体采样方法的比较
2. Comparing multi-objective non-evolutionary NLPQL and evolutionary genetic algorithm optimization of a DI diesel engine: DoE estimation and creating surrogate model [J] . Navid Ali, Khalilarya Shahram, Taghavifar Hadi Energy Conversion & Management . 2016,第OCTa期

机译：DI柴油机多目标非进化NLPQL与进化遗传算法优化比较：DoE估计和替代模型
3. Numerical analysis of a dual-fueled CI (compression ignition) engine using Latin hypercube sampling and multi-objective Pareto optimization [J] . Jungsoo Park, Kyo Seung Lee, Min Su Kim, Energy . 2014,第juna1期

机译：基于拉丁超立方采样和多目标Pareto优化的双燃料CI（压缩点火）发动机的数值分析
4. Engine Exhaust Noise Optimization Using Sobol DoE Sequence and NSGA-II Algorithms [C] . Ishwinder Pal Singh Sethi, Devendra Nene, Anand Shivajirao Patil SAE Noise and Vibration Conference and Exhibition . 2019

机译：使用Sobol DOE序列和NSGA-II算法发动机排气噪声优化
5. Combustion and Emission Characteristics of IC Engines Fueled by Hydrogen and Hydrogen/Diesel Mixtures and Multi-Objective Optimization of Operating Parameters [D] . Jabbr, Abdulhakim Issa. 2020

机译：通过氢气和柴油混合物推动IC发动机的燃烧和排放特性，以及操作参数的多目标优化
6. The Influence of Diesel–Ethanol Fuel Blends on Performance Parameters and Exhaust Emissions: Experimental Investigation and Multi-Objective Optimization of a Diesel Engine [O] . Behdad Shadidi, Hossein Haji Agha Alizade, Gholamhassan Najafi 2021

机译：柴油 - 乙醇燃料混合对柴油发动机的实验研究和多目标优化的影响

Corrigendum to 'Diesel engine optimization with multi-objective performance characteristics by non-evolutionary Nelder-Mead algorithm: Sobol sequence and Latin hypercube sampling methods comparison in DoE process' [Fuel 228 (2018) 349-307]

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