This book addresses the challenge of optimizing multiple, often conflicting, objectives within real-world decision-making scenarios. It presents various methods for solving multi-objective problems, drawing on the expertise of leading figures in the field, and includes practical applications that illustrate the theoretical modeling, analysis, and solution of complex issues.

The book is presented as a collection of methods and applications for multi-objective decision-making, compiled by leading experts. The inclusion of application papers suggests a focus on practical problem-solving and the demonstration of theoretical concepts in real-world contexts. The content is likely aimed at researchers and practitioners in operations research and related fields who deal with complex optimization challenges.