Integer Optimization and its Computation in Emergency Management
- 1st Edition - February 9, 2023
- Imprint: Academic Press
- Author: Zhengtian Wu
- Language: English
- Paperback ISBN:9 7 8 - 0 - 3 2 3 - 9 5 2 0 3 - 3
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 9 5 2 0 4 - 0
Studies on integer optimization in emergency management have attracted engineers and scientists from various disciplines such as management, mathematics, computer science, and ot… Read more
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Request a sales quoteStudies on integer optimization in emergency management have attracted engineers and scientists from various disciplines such as management, mathematics, computer science, and other fields. Although there are a large number of literature reports on integer planning and emergency events, few books systematically explain the combination of the two. Researchers need a clear and thorough presentation of the theory and application of integer programming methods for emergency management.
Integer Optimization and its Computation in Emergency Management
investigates the computation theory of integer optimization, developing integer programming methods for emergency management and explores related practical applications. Pursuing a holistic approach, this book establishes a fundamental framework for this topic, intended for graduate students who are interested in operations research and optimization, researchers investigating emergency management, and algorithm design engineers working on integer programming or other optimization applications.- Investigates computation theory of integer optimization and integer programming methods for emergency management and related practical applications
- Systematically provides background and potential applications of integer programming in emergency events, providing specific calculation frameworks and examples
- Provides a clear and thorough presentation of the theory and application of integer programming methods for emergency management through a holistic approach, establishing a fundamental framework of the topic for the audience
Researchers and academics in Engineering and Mathematics interested in operations research, optimization and algorithm design, integer programming, other optimization applications, and emergency management; Undergraduate students majoring in optimization theory and emergency management
- Cover image
- Title page
- Table of Contents
- Copyright
- Biography
- Dr Zhengtian Wu (1986–)
- Chapter 1: Distributed implementation of the fixed-point method for integer optimization in emergency management
- Abstract
- 1.1. Dang and Ye's fixed-point iterative method
- 1.2. Some details of the distributed implementation
- 1.3. The computation of the market split problem
- 1.4. The computation of the knapsack feasibility problem
- 1.5. Summary
- References
- Chapter 2: Computing all pure-strategy Nash equilibria using mixed 0–1 linear programming approach
- Abstract
- 2.1. Converting the problem to a mixed 0–1 linear programming
- 2.2. Numerical results
- 2.3. Summary
- References
- Chapter 3: Computing all mixed-strategy Nash equilibria using mixed integer linear programming approach
- Abstract
- 3.1. Converting the problem to a mixed integer linear programming
- 3.2. Numerical results
- 3.3. Summary
- References
- Chapter 4: Solving long-haul airline disruption problem caused by groundings using a distributed fixed-point approach
- Abstract
- 4.1. Introduction
- 4.2. Problem formulation
- 4.3. Methodology
- 4.4. Computational experience
- 4.5. Conclusion
- References
- Chapter 5: Solving multiple fleet airline disruption problems using a distributed-computation approach
- Abstract
- 5.1. Problem formulation
- 5.2. Methodology
- 5.3. Computational experience
- 5.4. Conclusion
- References
- Chapter 6: A deterministic annealing neural network algorithm for the minimum concave cost transportation problem
- Abstract
- 6.1. Introduction
- 6.2. Deterministic annealing and neural networks
- 6.3. Stability and convergence analysis of the proposed algorithm
- 6.4. Numerical results
- 6.5. Conclusions
- References
- Chapter 7: An approximation algorithm for graph partitioning via deterministic annealing neural network
- Abstract
- 7.1. Introduction
- 7.2. Entropy-type Barrier function
- 7.3. DANN algorithm for graph partitioning
- 7.4. Proof of global convergence of iterative procedure
- 7.5. Numerical results
- 7.6. Conclusions
- References
- Chapter 8: A logarithmic descent direction algorithm for the quadratic knapsack problem
- Abstract
- 8.1. Introduction
- 8.2. Logarithmic descent direction algorithm
- 8.3. Convergence of the damped Newton method
- 8.4. Numerical results
- 8.5. Conclusions
- References
- Index
- Edition: 1
- Published: February 9, 2023
- Imprint: Academic Press
- No. of pages: 212
- Language: English
- Paperback ISBN: 9780323952033
- eBook ISBN: 9780323952040
ZW
Zhengtian Wu
Zhengtian Wu is an associate professor at the Suzhou University of Science and Technology, Suzhou, in China. His research interests include intelligent decision-making and intelligent control, focusing on computer science, management science and control theory, and other interdisciplinary research. He is a senior member of IEEE and served as a reviewer for several international journals, and section chair of several international conferences.
Affiliations and expertise
Associate Professor, Suzhou University of Science and Technology, Suzhou, ChinaRead Integer Optimization and its Computation in Emergency Management on ScienceDirect