scholarly journals Optimization of load sharing for parallel compressors using a novel hybrid intelligent algorithm

2020 ◽  
Author(s):  
Xia Li ◽  
Tao Cui ◽  
Kun Huang ◽  
Xin Ma
Keyword(s):  
Load Sharing ◽  
Intelligent Algorithm ◽  
Hybrid Intelligent Algorithm

scholarly journals Modeling, optimization and experimental studies of supported nano-bimetallic catalyst for simultaneous total conversion of toluene and cyclohexane in air using a hybrid intelligent algorithm

RSC Advances ◽  
2018 ◽  
Vol 8 (31) ◽  
pp. 17346-17356 ◽  
Author(s):  
Mohammad Zabihi ◽  
Nasser Babajani
Keyword(s):  
Activated Carbon ◽  
Bimetallic Catalysts ◽  
Bimetallic Catalyst ◽  
Experimental Studies ◽  
Deep Oxidation ◽  
Intelligent Algorithm ◽  
Almond Shell ◽  
Total Conversion ◽  
Hybrid Intelligent Algorithm

This study reveals the simultaneous deep oxidation of toluene and cyclohexane over optimal supported bimetallic catalysts over almond shell based activated carbon.

Lidar Data Gluing Technology Based on Hybrid Intelligent Algorithm

2017 ◽  
Vol 37 (6) ◽  
pp. 0601002
Author(s):  
段绿林 Duan Lulin ◽  
刘 东 Liu Dong ◽  
张与鹏 Zhang Yupeng ◽  
成中涛 Cheng Zhongtao ◽  
罗 敬 Luo Jing ◽  
...  
Keyword(s):  
Lidar Data ◽  
Intelligent Algorithm ◽  
Hybrid Intelligent Algorithm

A new model for predicting sulfur solubility in sour gases based on hybrid intelligent algorithm

Fuel ◽  
2020 ◽  
Vol 262 ◽  
pp. 116550 ◽  
Author(s):  
Huasheng Chen ◽  
Chao Liu ◽  
Xiaoxiao Xu ◽  
Lu Zhang
Keyword(s):  
Intelligent Algorithm ◽  
Sulfur Solubility ◽  
Hybrid Intelligent Algorithm ◽  
New Model

scholarly journals 3Es System Optimization under Uncertainty Using Hybrid Intelligent Algorithm: A Fuzzy Chance-Constrained Programming Model

2016 ◽  
Vol 2016 ◽  
pp. 1-13
Author(s):  
Jiekun Song ◽  
Kaixin Zhang ◽  
Zijian Cao
Keyword(s):  
Energy Consumption ◽  
Industrial Structure ◽  
Programming Model ◽  
System Optimization ◽  
Ammonia Nitrogen ◽  
Optimization Under Uncertainty ◽  
Chance Constrained Programming ◽  
Intelligent Algorithm ◽  
Total Energy Consumption ◽  
Hybrid Intelligent Algorithm

Harmonious development of 3Es (economy-energy-environment) system is the key to realize regional sustainable development. The structure and components of 3Es system are analyzed. Based on the analysis of causality diagram, GDP and industrial structure are selected as the target parameters of economy subsystem, energy consumption intensity is selected as the target parameter of energy subsystem, and the emissions of COD, ammonia nitrogen, SO2, andNOXand CO2emission intensity are selected as the target parameters of environment system. Fixed assets investment of three industries, total energy consumption, and investment in environmental pollution control are selected as the decision variables. By regarding the parameters of 3Es system optimization as fuzzy numbers, a fuzzy chance-constrained goal programming (FCCGP) model is constructed, and a hybrid intelligent algorithm including fuzzy simulation and genetic algorithm is proposed for solving it. The results of empirical analysis on Shandong province of China show that the FCCGP model can reflect the inherent relationship and evolution law of 3Es system and provide the effective decision-making support for 3Es system optimization.

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