Differential Evolution with Self-adaptation and Local Search for Constrained Multiobjective Optimization

Author

Ales Zamuda;Janez Brest;Borko Boskovic;Viljem Zumer

Author_Institution

Computer Architecture and Languages Laboratory, Institute of Computer Science, Faculty of Electrical Engineering and Computer Science, University of Maribor, Smetanova ulica 17, SI-2000, Slovenia

fYear

2009

Firstpage

195

Lastpage

202

Abstract

This paper presents Differential Evolution with Self-adaptation and Local Search for Constrained Multiobjective Optimization algorithm (DECMOSA-SQP), which uses the self-adaptation mechanism from DEMOwSA algorithm presented at CEC 2007 and a SQP local search. The constrained handling mechanism is also incorporated in the new algorithm. Assessment of the algorithm using CEC 2009 special session and competition on constrained multiobjective optimization test functions is presented. The functions are composed of unconstrained and constrained problems. Their results are assessed using the IGD metric. Based on this metric, algorithm strengths and weaknesses are discussed.

Keywords

"Constraint optimization","Testing","Evolutionary computation","Computer science","Quadratic programming","Simulated annealing","Computational modeling","Guidelines","Computer architecture","Search methods"

Publisher

ieee

Conference_Titel

Evolutionary Computation, 2009. CEC ´09. IEEE Congress on

ISSN

1089-778X

Print_ISBN

978-1-4244-2958-5

Electronic_ISBN

1941-0026

Type

conf

DOI

10.1109/CEC.2009.4982948

Filename

4982948