Integer Optimization and its Computation in Emergency Management
Academic Press Inc (Verlag)
978-0-323-95203-3 (ISBN)
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.
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.
1. Distributed implementation of the fixed-point method for integer optimization in emergency management 2. Computing all pure-strategy Nash equilibrium using mixed 0-1 linear programming approach 3. Computing all mixed-strategy Nash equilibrium using mixed integer linear programming approach 4. Solving long haul airline disruption problem caused by groundings using a distributed fixed-point approach 5. Solving multiple fleet airline disruption problems using a distributed computation approach 6. A deterministic annealing neural network algorithm for the minimum concave cost transportation problem 7. An approximation algorithm for graph partitioning via deterministic annealing neural network 8. A Logarithmic descent direction algorithm for the Quadratic Knapsack Problem
Erscheinungsdatum | 24.02.2023 |
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Reihe/Serie | Emerging Methodologies and Applications in Modelling, Identification and Control |
Verlagsort | Oxford |
Sprache | englisch |
Maße | 152 x 229 mm |
Gewicht | 450 g |
Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
Technik ► Maschinenbau | |
ISBN-10 | 0-323-95203-8 / 0323952038 |
ISBN-13 | 978-0-323-95203-3 / 9780323952033 |
Zustand | Neuware |
Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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