Traditional mathematical programming has concentrated on problems that can be solved by achieving a single objective. In reality, many multi-objective situations exist; concentrating on a single goal limits the applicability of math programming models. Accordingly, multiobjective optimization has emerged as a rapidly growing area. In this monograph the author draws from the more mature body of literature on multicriterion decision theory to enhance understanding of multiobjective optimization. There are obvious commonalities between the two areas, but to date no one has presented a book which unifies the two. That is the aim of Multiobjective Optimization: Behavioral and Computational Considerations. There are many behavioral and computational issues which are relevant to multiobjective optimization. These issues cross the disciplines of behavioral decision theory, information and decision support systems, and computational analysis.