Integer Optimization and its Computation in Emergency Management Integer Optimization and its Computation in Emergency Management
Emerging Methodologies and Applications in Modelling, Identification and Control

Integer Optimization and its Computation in Emergency Management

    • $279.99
    • $279.99

Publisher Description

Studies 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

GENRE
Professional & Technical
RELEASED
2023
9 February
LANGUAGE
EN
English
LENGTH
212
Pages
PUBLISHER
Academic Press
SELLER
Elsevier Ltd.
SIZE
13.7
MB
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