The success of metaheuristics on hard single-objective optimization problems is well recognized today. Many real-life problems require, however, taking into account several conflicting points of view corresponding to multiple objectives. The use of metaheuristic optimization techniques for...

This book opens the door to multiobjective optimization for students in fields such as engineering, management, economics and applied mathematics. It offers a comprehensive introduction to multiobjective optimization, with a primary emphasis on multiobjective linear programming and...

This book explores the risk-return paradox in portfolio selection by incorporating multi-objective criteria. Empirical research is presented on the development of alternate portfolio models and their relative performance in the risk/return framework to provide solutions to multi-objective...