Stochastic Approaches to Interactive Multi-Criteria Optimization Problems

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/2903 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/2903 http://eprints.org/relation/isCoversheetVersionOf https://pure.iiasa.ac.at/id/document/2903 archive 351 disk0/00/00/28/49 2016-01-15 01:57:07 2021-08-27 17:12:44 2016-01-15 01:57:07 monograph show 2 Mikhalevich M.V. Stochastic Approaches to Interactive Multi-Criteria Optimization Problems pub iis_met prog_ado A stochastic approach to the development of interactive algorithms for multicriteria optimization is discussed in this paper. These algorithms are based on the idea of a random search and the use of a decision-maker who can compare any two decisions. The questions of both theoretical analysis (proof of convergence, investigation of stability) and practical implementation of these algorithms are discussed. 1986-02 published WP-86-010 WP-86-010 10 public working_paper IIASA, Laxenburg, Austria 25 FALSE info:eu-repo/semantics/book