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 rapdily 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: Behavioural and Computational Considerations". There are many behavioural and computational issues which are relevant to multiobjective optimization. These issues cross the disciplines of behavioural decision theory, information and decision support systems, and computational analysis.