Abstract
Methods for solving distributed multiobjective problems for interrelated linear mathematical models with own linear criterion function are considered in the paper. A general procedure of constructing distributed methods of searching solutions for interrelated multicriterion mathematical programming based on solving a minimax problem formed with respect to a set of criterion function is discussed. The procedure is named distributed as it admits parallel and asynchronous execution of actions for seaching local solutions with next coordination to obtain a solution of the general problem.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Mikhalevich V.S., Volkovich V.L. Computatinal Methods for Investigation and Design of Complex Systems. Moscow, 1982.
Volkovich V.L., Kolenov G.V., Mashenko S.O. An algorithm for solving linear optimization problem in the distributed system // Avtomatika, 1989, N1.
Mikhalevich VS., Volkovich V.L., Kolenov G.V An algorithm for coordinating the solutions in the distributed system of interrelated problems with linear models // Kibernetika, 1988, N3.
Volkovich V.L., Kolenov G.V. The method for the distributed solution of interrelated optimization problems //Tekhnicheskaya Kibernetika, 1990, N6, p.28–42.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1997 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Volkovich, V.L. (1997). Distributed Multiobjective Optimization Problems and Methods for their Solution. In: Fandel, G., Gal, T. (eds) Multiple Criteria Decision Making. Lecture Notes in Economics and Mathematical Systems, vol 448. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-59132-7_26
Download citation
DOI: https://doi.org/10.1007/978-3-642-59132-7_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-62097-6
Online ISBN: 978-3-642-59132-7
eBook Packages: Springer Book Archive