Nonlinear Systems Optimization and Statistics group  
 
    
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  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

 

   

Poster

 

   

 

 
 
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