eprintid: 4846
rev_number: 11
eprint_status: archive
userid: 351
dir: disk0/00/00/48/46
datestamp: 2016-01-15 02:07:25
lastmod: 2021-08-27 17:36:25
status_changed: 2016-01-15 02:07:25
type: monograph
metadata_visibility: show
item_issues_count: 1
creators_name: Sun, M.
creators_name: Stam, A.
creators_name: Steuer, R.E.
creators_id: 1602
title: Solving Multiple Objective Programming Problems Using Feed-forward Artificial Neural Networks: The Interactive FFANN Procedure of Innovation
ispublished: pub
internal_subjects: iis_inn
internal_subjects: iis_met
internal_subjects: iis_sys
divisions: prog_mcd
abstract: In this paper we propose a new interactive procedure for solving multiple objective programming problems. Based upon feed-forward artificial neural networks (FFANN), the method is called the Interactive FFANN Procedure. In the procedure, the decision maker articulates preference information over representative samples from the non-dominated set either by assigning preference "values" to the sample solutions or by making pairwise comparisons in a fashion similar to that in the Analytic Hierarchy Process. With this information, a FFANN is trained to represent the decision maker's preference structure. Then, using the FFANN, an optimization problem is solved to search for improved solutions. An example is given to illustrate the Interactive FFANN Procedure. Also, the procedure is compared computationally with the Tchebycheff Method (Steuer and Cho 1983). The computational results indicate that the Interactive FFANN Procedure produces good solutions and is robust with regard to the neural network architecture.
date: 1996
date_type: published
publisher: RR-97-014. Reprinted from Management Science, 42(6) [June 1996].
iiasapubid: RP-97-014
iiasa_bibref: Reprinted from Management Science; 42(6) [June 1996]
price: 10
creators_browse_id: 1588
full_text_status: public
monograph_type: research_reprint
publication: Management Science
volume: 42
number: 6
place_of_pub: IIASA, Laxenburg, Austria
pages: 16
refereed: TRUE
coversheets_dirty: FALSE
fp7_type: info:eu-repo/semantics/book
citation:   Sun, M., Stam, A. <https://pure.iiasa.ac.at/view/iiasa/1588.html>, & Steuer, R.E.  (1996).  Solving Multiple Objective Programming Problems Using Feed-forward Artificial Neural Networks: The Interactive FFANN Procedure of Innovation.   IIASA Research Report (Reprint). IIASA, Laxenburg, Austria: RR-97-014. Reprinted from Management Science, 42(6) [June 1996].     
document_url: https://pure.iiasa.ac.at/id/eprint/4846/1/RR-97-14.pdf