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书名Multi-Objective Optimization in Chemical Engineering: Developments and Applications 作者Gade Pandu Rangaiah (Editor), Prof Adrian Bonilla-Petriciolet (Editor) ISBN: 978-1-118-34166-7 页数528 pages 出版社wiley May 2013 List of Contributors xiii Preface xv Part I Overview 1 1 Introduction 3 Adri′an Bonilla-Petriciolet and Gade Pandu Rangaiah 1.1 Optimization and Chemical Engineering 3 1.2 Basic Definitions and Concepts of Multi-Objective Optimization 5 1.3 Multi-Objective Optimization in Chemical Engineering 8 1.4 Scope and Organization of the Book 9 References 15 2 Optimization of Pooling Problems for Two Objectives Using the ε-Constraint Method 17 Haibo Zhang and Gade Pandu Rangaiah 2.1 Introduction 17 2.2 Pooling Problem Description and Formulations 19 2.2.1 p-Formulation 19 2.2.2 r-Formulation 21 2.3 ε-Constraint Method and IDE Algorithm 25 2.4 Application to Pooling Problems 27 2.5 Results and Discussion 28 2.6 Conclusions 32 Exercises 33 References 33 3 Multi-Objective Optimization Applications in Chemical Engineering 35 Shivom Sharma and Gade Pandu Rangaiah 3.1 Introduction 35 3.2 MOO Applications in Process Design and Operation 37 3.3 MOO Applications in Petroleum Refining, Petrochemicals and Polymerization 57 vi Contents 3.4 MOO Applications in the Food Industry, Biotechnology and Pharmaceuticals 57 3.5 MOO Applications in Power Generation and Carbon Dioxide Emissions 66 3.6 MOO Applications in Renewable Energy 66 3.7 MOO Applications in Hydrogen Production and Fuel Cells 82 3.8 Conclusions 82 Acronyms 87 References 87 Part II Multi-Objective Optimization Developments 103 4 Performance Comparison of Jumping Gene Adaptations of the Elitist Non-dominated Sorting Genetic Algorithm 105 Shivom Sharma, Seyed Reza Nabavi and Gade Pandu Rangaiah 4.1 Introduction 105 4.2 Jumping Gene Adaptations 107 4.3 Termination Criterion 110 4.4 Constraint Handling and Implementation of Programs 112 4.5 Performance Comparison 114 4.5.1 Performance Comparison on Unconstrained Test Functions 114 4.5.2 Performance Comparison on Constrained Test Functions 121 4.6 Conclusions 124 Exercises 124 References 125 5 Improved Constraint Handling Technique for Multi-Objective Optimization with Application to Two Fermentation Processes 129 Shivom Sharma and Gade Pandu Rangaiah 5.1 Introduction 129 5.2 Constraint Handling Approaches in Chemical Engineering 131 5.3 Adaptive Constraint Relaxation and Feasibility Approach for SOO 132 5.4 Adaptive Relaxation of Constraints and Feasibility Approach for MOO 133 5.5 Testing of MODE-ACRFA 136 5.6 Multi-Objective Optimization of the Fermentation Process 139 5.6.1 Three-Stage Fermentation Process Integrated with Cell Recycling 139 5.6.2 Three-Stage Fermentation Process Integrated with Cell Recycling and Extraction 145 5.6.3 General Discussion 152 5.7 Conclusions 153 Acronyms 153 References 154  111834166X.jpg  QQ图片20140504120726.jpg |
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