
Multiobjective Optimization in Water Resources Systems
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Content
- Front Cover
- Multiobjective Optimization in Water Resources Systems
- Copyright Page
- Table of Contents
- Preface
- Acknowledgements
- List of Figures
- List of Tables
- Chapter 1. Fundamentals in Multiple Objective Problems
- 1.1. Introduction
- 1.2. Multiobjectives in Water Resources Systems
- 1.3. Problem Definition
- 1.4. Terminology and Concept of Non-inferior Solutions
- 1.5. Overview of Book
- Footnotes
- References
- Chapter 2. Solution Methodologies for Multiple Objective Problems
- 2.1. Introduction
- 2.2. Utility Functions
- 2.3. Indifference Functions
- 2.4. Lexicographic Approach
- 2.5. Parametric Approach
- 2.6. The e-Constraint Approach
- 2.7. Goal Programming
- 2.8. The Goal Attainment Method
- 2.9. Adaptive Search Approach
- 2.10. Interactive Approaches
- 2.11. Other Approaches
- Footnotes
- References
- Chapter 3. The Surrogate Worth Trade-off Method
- 3.1. General Approach
- 3.2. The Derivation of the Trade-off Rate Function
- 3.3. Computational Procedure for Constructing the Trade-off Function
- 3.4. The Surrogate Worth Function
- 3.5. Computational Procedure for Finding the Preferred Solutions
- 3.6. Geometric Interpretation of the SWT Method
- 3.7. Summary
- Footnotes
- References
- Chapter 4. The SWT Method for Static Two-Objective Problems
- 4.1. Computational Efficiencies
- 4.2. The Static Two-Objective e-Constraint (STE) Algorithm
- 4.3. The Multiplier Approach
- 4.4. The Static Two-Objective Combined (STC) Algorithm
- 4.5. The Static Two-Objective Multiplier (STM) Algorithm
- 4.6. Summary
- Footnotes
- References
- Chapter 5. The SWT Method for Dynamic Two-Objective Problems
- 5.1. Introductory Analysis
- 5.2. Dynamic Problems in e-Constraint Form
- 5.3. Dynamic Two-Objective e-Constraint (DTE) Algorithm
- 5.4. Dynamic Two-Objective Combined (DTC) Algorithm
- 5.5. Dynamic Two-Objective Multiplier (DTM) Algorithm
- 5.6. Summary
- Footnotes
- References
- Chapter 6. The SWT Method for Static n-Objective Problems
- 6.1. Surrogate Worth Functions
- 6.2. Preferred Solutions and Consistency
- 6.3. Computational Efficiencies
- 6.4. The Static n-Objective e-Constraint (SNE) Algorithm
- 6.5. The Static n-Objective Multiplier (SNM) Algorithm
- 6.6. Summary
- Footnotes
- References
- Chapter 7. The SWT Method for Dynamic n-Objective Problems
- 7.1. Introductory Analysis
- 7.2. The Dynamic n-Objective e-Constraint (DNE) Algorithm
- 7.3. The Dynamic n-Objective Multiplier (DNM) Algorithm
- 7.4. Summary
- Footnotes
- References
- Chapter 8. Applications of the SWT Method to Water Resources Problems
- 8.1. The Reid-Vemuri Example Problem
- 8.2. Solution to the Reid-Vemuri Problem
- 8.3. Discussion of Results
- 8.4. Stream Resource Allocation Problem
- 8.5. Solution of Stream Resource Allocation Problem
- 8.6. Discussion of Results
- 8.7. Northern California Water System
- 8.8. Solution of California Water System Multiobjective Problem
- Footnotes
- References
- Chapter 9. Multiobjective Water Quality Models
- 9.1. Introduction
- 9.2. Water Quality Goals and Objectives
- 9.3. General Problem Formulation
- 9.4. Formulation of an Example Problem
- 9.5. Application of the SWT Method to the Three Water Quality Objective Problem
- 9.6. Summary and Conclusions
- Footnotes
- References
- Chapter 10. Sensitivity, Stability, Risk and Irreversibility as Multiple Objectives
- 10.1. Introduction
- 10.2. System Characteristics Related to the Evaluation of Risk
- 10.3. Sources of Uncertainties and Errors in Modeling
- 10.4. Formulation of Risk Objectives for Water Resources Systems
- 10.5. Measurement of Risk-Related Characteristics
- 10.6. Summary and Conclusions
- Footnotes
- References
- Chapter 11. Epilogue
- 11.1. Advantages of the SWT Method
- 11.2. Further Development of the SWT Method
- Author Index
- Subject Index
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