Overview
First book focusing on temporal and conflicting objectives
First book on computational intelligence for risk management
Discusses the topic qualitatively as well as quantitatively
Goes beyond traditional risk assessment methodologies
Offers a thorough computational approach to risk identification in complex systems
Provides the pseudo code for all computational methods used in the book
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Keywords
- CRO
- Computational intelligence
- Computational intelligence society
- Computational risk optimization
- DMAR
- Decision maker attitude to risk
- Evolutionary multiobjective search
- MEBRA
- Multi-objective evolutionary-based risk assessment framework
- RIB
- RICO
- Risk backbone in temporal risk management
- Risk identification under conflicting objectives
About this book
Authors and Affiliations
Bibliographic Information
Book Title: Thinking Risk with Multi-objective Population-based Heuristics
Authors: Hussein A. Abbass, Axel Bender, Lam Bui, Svetoslav Gaidow
Publisher: Springer New York, NY
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Science+Business Media, LLC, part of Springer Nature 2024
Hardcover ISBN: 978-1-4419-6771-8Due: 31 August 2024
eBook ISBN: 978-1-4419-6772-5Due: 31 August 2024
Edition Number: 1
Number of Pages: X, 240
Topics: Computational Intelligence, Communications Engineering, Networks, Artificial Intelligence, Business and Management, general