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
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
The scope of this book is evolutionary computation techniques for risk management. The aim of the book is to layout the foundations and provides a detailed treatment of the subject. It will focus on two main elements in risk management that are lacking sufficient treatments in the current literature: temporal risk and risk under conflicting objectives. The book will provide a coherent picture of risk management that encompasses these two elements and frameworks, methods and techniques to manage risk that features these two elements.
Risk and uncertaint.- Evolutionary multiobjective search.- Computational risk optimization.- MEBRA: Multiobjective evolutionary-based risk assessment framework.- RICO: Risk identification under conflicting objectives.- RIB: Risk backbone in temporal risk management.- DMAR: Decision maker attitude to risk.- Applications.-Conclusion.
Inhaltsverzeichnis
Risk and uncertaint.- Evolutionary multiobjective search.- Computational risk optimization.- MEBRA: Multiobjective evolutionary-based risk assessment framework.- RICO: Risk identification under conflicting objectives.- RIB: Risk backbone in temporal risk management.- DMAR: Decision maker attitude to risk.- Applications.-Conclusion.
Klappentext
The scope of this book is evolutionary computation techniques for risk management. The aim of the book is to layout the foundations and provides a detailed treatment of the subject. It will focus on two main elements in risk management that are lacking sufficient treatments in the current literature: temporal risk and risk under conflicting objectives. The book will provide a coherent picture of risk management that encompasses these two elements and frameworks, methods and techniques to manage risk that features these two elements.
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
