Abstract
In the course of applying heuristic search techniques to practical problems, several issues have assumed significance. Some of these issues have evolved from practical considerations such as space and time constraints, that are directly related to the feasibility of the existing search techniques. Other issues have gained importance through the requirements of frameworks for modeling problems from specific domains in a more realistic manner and solving them efficiently. The multiobjective search model is one such framework for modeling and solving search problems involving multiple, conflicting and non-commensurate optimization criteria.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
Rights and permissions
Copyright information
© 1999 Friedr. Vieweg & Sohn Verlagsgesellschaft mbH, Braunschweig/Wiesbaden
About this chapter
Cite this chapter
Dasgupta, P., Chakrabarti, P.P., DeSarkar, S.C. (1999). The Multiobjective Search Model. In: Multiobjective Heuristic Search. Computational Intelligence. Vieweg+Teubner Verlag. https://doi.org/10.1007/978-3-322-86853-4_2
Download citation
DOI: https://doi.org/10.1007/978-3-322-86853-4_2
Publisher Name: Vieweg+Teubner Verlag
Print ISBN: 978-3-528-05708-4
Online ISBN: 978-3-322-86853-4
eBook Packages: Springer Book Archive