DocumentCode :
3631423
Title :
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
Link To Document :
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