Stochastic Approaches to Interactive Multi-Criteria Optimization Problems

Mikhalevich MV (1986). Stochastic Approaches to Interactive Multi-Criteria Optimization Problems. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-86-010

[img]
Preview
Text
WP-86-010.pdf

Download (367kB) | Preview

Abstract

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.

Item Type: Monograph (IIASA Working Paper)
Research Programs: Adaption and Optimization (ADO)
Depositing User: IIASA Import
Date Deposited: 15 Jan 2016 01:57
Last Modified: 18 Nov 2016 17:20
URI: http://pure.iiasa.ac.at/2849

Actions (login required)

View Item View Item

International Institute for Applied Systems Analysis (IIASA)
Schlossplatz 1, A-2361 Laxenburg, Austria
Phone: (+43 2236) 807 0 Fax:(+43 2236) 71 313