An Interactive Fuzzy Satisficing Method for Multiobjective Nonlinear Integer Programming Problems with Block-angular Structures through Genetic Algorithms with Decomposition Procedures

Sakawa, M. & Kato, K. (2009). An Interactive Fuzzy Satisficing Method for Multiobjective Nonlinear Integer Programming Problems with Block-angular Structures through Genetic Algorithms with Decomposition Procedures. IIASA Interim Report. IIASA, Laxenburg, Austria: IR-09-014

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Abstract

This paper considers multiobjective nonlinear integer programming problems with block-angular structures. Considering the vague nature of the decision makers judgments, an interactive fuzzy satisficing method is presented. Realizing the special structures that can be exploited in solving problems, genetic algorithms with decomposition procedures are also proposed.

Item Type: Monograph (IIASA Interim Report)
Uncontrolled Keywords: Multiobjective programming; Fuzzy programming; Nonlinear integer programming; Block-angular structures; Genetic algorithms; Decomposition
Research Programs: Integrated Modeling Environment (IME)
Depositing User: IIASA Import
Date Deposited: 15 Jan 2016 08:43
Last Modified: 27 Aug 2021 17:21
URI: https://pure.iiasa.ac.at/9134

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