NSGA-II programming and optimization features

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Table of contents

Chapter I. Why develop a biorefinery?
1.1. Introduction
1.2. Biorefinery background
1.3. Biorefinery integration degree
1.4. Special characteristics of biorefineries
1.5. Summary
1.6. References
Chapter II. Key challenges and requirements for sustainable and industrialized biorefinery supply chain: A bibliographic analysis
2.1. Introduction
2.2. Challenges and requirements for a sustainable biorefinery supply chain conception
2.3. Methods
2.4. Results
2.5. Discussion
2.6. Summary
2.7. References
Chapter III. Conceptual framework: Decision-making on sustainable biorefinery supply chain
3.1. Introduction
3.2. Operations Research
3.3. General methodology proposition for decision-making on sustainable Phase III BioRSC projects
3.4. Discussion
3.5. Summary
3.6. References
Chapter IV. Methodology proposition: Modeling strategy methodology and bibliographic study for the selection of optimization techniques
4.1. Introduction
4.2. Model construction proposition for sustainable Phase III BioRSC design
4.3. Model resolution methodology for a Multi-Objective Optimization Problem
4.4. NSGA-II programming and optimization features
4.5. Summary
4.6. References
Chapter V. Model construction by sustainability dimensions analysis
5.1. Introduction
5.2. Economic dimension analysis
5.3. Political dimension analysis
5.4. Technological dimension analysis
5.5. Social dimension analysis
5.6. Environmental dimension analysis
5.7. Summary
5.8. References
Chapter VI. Case study parameter description
6.1. Introduction
6.2. Parameter definition for strategic decisions in SC and the BioRSC characteristics
6.3. Parameter definition for the economic dimension equations
6.4. Political dimension analysis
6.5. Technological dimension analysis
6.6. Social dimension analysis
6.7. Environmental dimension analysis
6.8. Conclusions
6.9. References
Chapter VII. Multiobjective algorithm and optimization results
7.1. Introduction
7.2. NSGA-II parameters and parents production
7.3. Multiobjective optimization results
7.4. An example of optimal solutions with compromises between the sustainability dimensions
7.5. Sensitivity analysis
7.6. Model validation
7.7. Conclusions
7.8. References
Chapter VIII. Conclusions and perspectives
Appendix Chapter V
Appendix Chapter VI

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