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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.

Thinking Risk with Multi-objective Population-based Heuristics: Under Temporal and Conflicting Objectives

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.