Nonlinear Systems Optimization and Statistics group  
 
    
    NSOS
   Members
   Projects
   Publications
   Summary
 Contacts
  MOO - Multi-Objective Optimization  
 

 

   

Ongoing work includes the application of several statistical methods in order to perform dimensionality reduction of multi-objective problems and to clarify visualization of solutions. The development of statistical measures for the comparison of the performance of multi-objective algorithms is being investigated. The improvement of elitism strategies in multi-objective evolutionary algorithms will be addressed. Future work will aim at formulating and solving real world engineering problems which are in general solved considering a single objective.

 

Research Team

 

Pedro N.F.P. Oliveira
Lino A.A.F. Costa

 

   

Publications

 

   

Theses

 

Costa, L., Algoritmos Evolucionários em Optimização Uniobjectivo e Multiobjectivo, PhD thesis, Universidade do Minho, 2003, supervisor: Oliveira, P.

Gomes, J.L.F., Processo de Implementação de ERPs: Um método para o Ajuste de Requisitos e Optimização de Funcionalidades, MSc Thesis, Universidade do Minho, 2007, supervisors: Costa, L. ; Machado, R.

 

   

Poster

     

 

 
 
  Copyright © 2007 CCG - Centro de Computação Gráfica. All Rights Reserved.