DNA computing based genetic algorithm : applications in industrial process modeling and control /: applications in industrial process modeling and control. (2020)

• Record Type: Book
• Further Information: Note: Jili Tao, Ridong Zhang, Yong Zhu.
• Other Names: Tao, Jili; Zhang, Ridong; Zhu, Yong
• Contents: Intro -- Contents -- 1 Introduction -- 1.1 Standard Genetic Algorithm -- 1.2 State of Art for GA -- 1.2.1 Theoretical Research of GA -- 1.2.2 Encoding Problem of GA -- 1.2.3 Constraint Handling in GA -- 1.2.4 Multi-objective Genetic Algorithm -- 1.2.5 Applications of GA -- 1.3 DNA Computing Based GA -- 1.3.1 DNA Molecular Structure of DNA Computing -- 1.3.2 Biological Operators of DNA Computing -- 1.3.3 DNA Computing Based Genetic Algorithm -- 1.4 The Main Content of This Book -- References -- 2 DNA Computing Based RNA Genetic Algorithm -- 2.1 Introduction -- 2.2 RNA-GA Based on DNA Computing 2.2.1 Digital Encoding of RNA Sequence -- 2.2.2 Operations of RNA Sequence -- 2.2.3 Encoding and Operators in RNA-GA -- 2.2.4 The Procedure of RNA-GA -- 2.3 Global Convergence Analysis of RNA-GA -- 2.4 Performance of the RNA-GA -- 2.4.1 Test Functions -- 2.4.2 Adaptability of the Parameters -- 2.4.3 Comparisons Between RNA-GA and SGA -- 2.5 Summary -- Appendix -- References -- 3 DNA Double-Helix and SQP Hybrid Genetic Algorithm -- 3.1 Introduction -- 3.2 Problem Description and Constraint Handling -- 3.3 DNA Double-Helix Hybrid Genetic Algorithm (DNA-DHGA) -- 3.3.1 DNA Double-Helix Encoding 3.3.2 DNA Computing Based Operators -- 3.3.3 Hybrid Genetic Algorithm with SQP -- 3.3.4 Convergence Rate Analysis of DNA-DHGA -- 3.4 Numeric Simulation -- 3.4.1 Test Functions -- 3.4.2 Simulation Analysis -- 3.5 Summary -- Appendix -- References -- 4 DNA Computing Based Multi-objective Genetic Algorithm -- 4.1 Introduction -- 4.2 Multi-objective Optimization Problems -- 4.3 DNA Computing Based MOGA (DNA-MOGA) -- 4.3.1 RNA Encoding -- 4.3.2 Pareto Sorting and Density Information -- 4.3.3 Elitist Archiving and Maintaining Scheme -- 4.3.4 DNA Computing Based Crossover and Mutation Operators 4.3.5 The Procedure of DNA-MOGA -- 4.3.6 Convergence Analysis of DNA-MOGA -- 4.4 Simulations on Test Functions by DNA-MOGA -- 4.4.1 Test Functions and Performance Metrics -- 4.4.2 Calculation Results -- 4.5 Summary -- Appendix -- References -- 5 Parameter Identification and Optimization of Chemical Processes -- 5.1 Introduction -- 5.2 Problem Description of System Identification -- 5.2.1 Lumping Models for a Heavy Oil Thermal Cracking Process -- 5.2.2 Parameter Estimation of FCC Unit Main Fractionator -- 5.3 Gasoline Blending Recipe Optimization 5.3.1 Formulation of Gasoline Blending Scheduling -- 5.3.2 Optimization Results for Gasoline Blending Scheduling -- 5.4 Summary -- Appendix -- References -- 6 GA-Based RBF Neural Network for Nonlinear SISO System -- 6.1 Introduction -- 6.2 The Coke Unit -- 6.3 RBF Neural Network -- 6.4 RNA-GA Based RBFNN for Temperature Modeling -- 6.4.1 Encoding and Decoding -- 6.4.2 Fitness Function -- 6.4.3 Operators of RBFNN Optimization -- 6.4.4 Procedure of the Algorithm -- 6.4.5 Temperature Modeling in a Coke Furnace -- 6.5 Improved MOEA Based RBF Neural Network for Chamber Pressure
• Publisher Details: Singapore : Springer
• Publication Date: 2020
• Copyright Date: 2020
• Extent: 1 online resource (274 pages)
• Subjects: 519.6/25; Genetic algorithms; Molecular computers; Automatic control engineering; Artificial intelligence; Maths for scientists; Technology & Engineering -- Automation; Computers -- Intelligence (AI) & Semantics; Computers -- Computer Science; Genetic algorithms; Molecular computers; Electronic books; Electronic books
• Languages: English
• ISBNs: 9789811554032
• Related ISBNs: 9789811554025
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.