Hierarchial generation of pareto optimal solutions in large-scale multiobjective systems

Authors:
R. Caballero;T. Gómez;M. Luque;F. Miguel;F. Ruiz
Affiliations:
Department of Applied Economics (Mathematics), University of Málaga, Campus El Ejido s/n, 29071-Málaga, Spain;Department of Applied Economics (Mathematics), University of Málaga, Campus El Ejido s/n, 29071-Málaga, Spain;Department of Applied Economics (Mathematics), University of Málaga, Campus El Ejido s/n, 29071-Málaga, Spain;Department of Applied Economics (Mathematics), University of Málaga, Campus El Ejido s/n, 29071-Málaga, Spain;Department of Applied Economics (Mathematics), University of Málaga, Campus El Ejido s/n, 29071-Málaga, Spain
Venue:
Computers and Operations Research
Year:
2002

Citing 4
Cited 2

Practical methods of optimization; (2nd ed.)

Practical methods of optimization; (2nd ed.)
Hierarchical multiobjective analysis for large-scale systems: reviews and current status

Automatica (Journal of IFAC)
Hierarchical optimization: a satisfactory solution

Fuzzy Sets and Systems
Fuzzy approach for multi-level programming problems

Computers and Operations Research

From Bayesian Decision-Makers to Bayesian Agents

Proceedings of the 2005 conference on Self-Organization and Autonomic Informatics (I)
A two-slope achievement scalarizing function for interactive multiobjective optimization

Computers and Operations Research

Quantified Score

Hi-index	0.01

Visualization

Abstract

In this paper, the problem of the determination of Pareto optimal solutions for certain large-scale systems with multiple conflicting objectives is considered. As a consequence, a two-level hierarchical method is proposed, where the global problem is decomposed into smaller multiobjective problems (lower level) which are coordinated by an upper level that has to take into account the relative importance assigned to each subsystem. The scheme that has been developed is an iterative one, so that a continuous information exchange is carried out between both levels in order to obtain efficient solutions for the initial global problem. The practical implementation of the developed scheme allows us to prove its efficiency in terms of processing time.