Bi-objective combined facility location and network design

Authors:
Eduardo G. Carrano;Ricardo H. C. Takahashi;Carlos M. Fonseca;Oriane M. Neto
Affiliations:
Universidade Federal de Minas Gerais, Department of Electrical Engineering, Belo Horizonte, MG, Brazil and Universidade do Algarve, Centre for Intelligent Systems, Faro, Portugal;Universidade Federal de Minas Gerais, Department of Mathematics, Belo Horizonte, MG, Brazil;Universidade do Algarve, Centre for Intelligent Systems, Faro, Portugal;Universidade Federal de Minas Gerais, Department of Electrical Engineering, Belo Horizonte, MG, Brazil
Venue:
EMO'07 Proceedings of the 4th international conference on Evolutionary multi-criterion optimization
Year:
2007

Citing 2
Cited 2

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Abstract

This paper presents a multicriterion algorithm for dealing with joint facility location and network design problems, formulated as bi-objective problems. The algorithm is composed of two modules: a multiobjective quasi-Newton algorithm, that is used to find the location of the facilities; and a multiobjective genetic algorithm, which is responsible for finding the efficient topologies. These modules are executed in an iterative way, to make the estimation of whole Pareto set possible. The algorithm has been applied to the expansion of a real energy distribution system. The minimization of financial cost and the maximization of reliability have been considered as the design objectives in this case.