The roots of Multiple Criteria Decision Making and Multiple
Criteria Optimization were laid by Pareto at the end of the 19th
century, and since then the discipline has prospered and grown,
especially during the last three decades. Today, many decision
support systems incorporate methods to deal with conflicting
objectives. The foundation for such systems is a mathematical
theory of optimization under multiple objectives.
Since its beginnings, there have been a vast number of books,
journal issues, papers and conferences that have brought the field
to its present state. Despite this vast body of literature, there
is no reliable guide to provide an access to this knowledge. Over
the years, many literature surveys and bibliographies have been
published. With the ever rapidly increasing rate of publications in
the area and the development of subfields, these were mostly
devoted to particular aspects of multicriteria optimization:
Multiobjective Integer Programming, Multi-objective Combinatorial
Optimization, Vector Optimization, Multiobjective Evolutionary
Methods, Applications of MCDM, MCDM Software, Goal Programming.
Hence the need for a comprehensive overview of the literature in
multicriteria optimization that could serve as a state of the art
survey and guide to the vast amount of publications. Multiple
Criteria Optimization: State of the Art Annotated Bibliographic
Surveys is precisely this book. Experts in various areas of
multicriteria optimization have contributed to the volume. The
chapters in this book roughly follow a thread from most general to
more specific. Some of them are about particular types of problems
(Theory of Vector Optimization, Nonlinear
MultiobjectiveProgramming, Fuzzy Multiobjective Programming,
Multiobjective Combinatorial Optimization, Multicriteria Scheduling
Problems), while the others are focused on multi-objective
methodologies (Goal Programming, Interactive Methods, Evolutionary
Algorithms, Data Envelopment Analysis). All contributing authors
invested great effort to produce comprehensive overviews and
bibliographies and to have references that are as precise as
possible.
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