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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 objectivesFirst book on computational intelligence for risk managementDiscusses the topic qualitatively as well as quantitativelyGoes beyond traditional risk assessment methodologiesOffers a thorough computational approach to risk identification in complex systemsProvides the pseudo code for all computational methods used in the book