eprintid: 4635 rev_number: 5 eprint_status: archive userid: 351 dir: disk0/00/00/46/35 datestamp: 2016-01-15 02:06:43 lastmod: 2021-08-27 17:36:12 status_changed: 2016-01-15 02:06:43 type: article 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 approach ispublished: pub internal_subjects: iis_inn internal_subjects: iis_met internal_subjects: iis_sys divisions: prog_mda abstract: In this paper, we propose a new interactive procedure for solving multiple objective programming problems. Based upon feed-forward artificial neural networks (FFANNs), the method is called the Interactive FFANN Procedure. In the procedure. In the procedure, the decision maker articulates preference information over representative samples from the nondominated 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 Choo 1983). The computational results indicate that the Interactive FFANN Procedure procedures good solutions and is robust with regard to the neural network architecture. date: 1996-06 date_type: published publisher: Institute for Operations Research and the Management Sciences (INFORMS) official_url: http://www.jstor.org/stable/2634598 iiasapubid: XJ-96-071 iiasa_bibref: Management Science; 42(6):835-849 (June 1996) iiasa_bibnotes: Available at <www.jstor.org/stable/2634598>. Also available as IIASA Reprint RP-97-014 creators_browse_id: 1588 full_text_status: none publication: Management Science volume: 42 number: 6 pagerange: 835-849 refereed: TRUE issn: 1526-5501 coversheets_dirty: FALSE fp7_type: info:eu-repo/semantics/article citation: Sun, M., Stam, A. , & Steuer, R.E. (1996). Solving multiple objective programming problems using feed-forward artificial neural networks: The interactive FFANN approach. Management Science 42 (6) 835-849.