BISC Seminar, 22 February 1996, 4-5:00pm, 310 Soda Hall

Michael Lee (
Tue, 20 Feb 1996 21:59:18 +0100


BISC Seminar lecture: February 22nd, 4:00-5:00 pm
310 Soda Hall
University of California
Berkeley, CA 94720


Fuzzy Multiple Objective Problems: A Simulated Annealing Approach

Prof. Rita Ribeiro

Universidade Nova Lisboa
Department Informatica
2825 Monte Caparica


The most common approaches to solve fuzzy multiple objective
problems use mathematical transformations to transform the
fuzzy problem into an equivalent crisp one. However, this
type of approach results in the loss of the intrinsic
imprecision found in these fuzzy problems.

A new solving method using the simulated annealing algorithm
is introduced. This method has an innate method for solving
fuzzy optimization problems. To illustrate the potential of
the simulated annealing algorithm, examples of fuzzy linear
and non-linear multiple objective problems are discussed.

Michael A. Lee
Post Doctoral Researcher
Berkeley Initiative in Soft Computing              Tel: +1-510-642-9827
Computer Science Division                          Fax: +1-510-642-5775
University of California                    Email:
Berkeley, CA 94720-1776 USA       WWW: