A Modified Differential Evolution Algorithm and Its Application to Engineering Problems

In the present study a Modified Differential Evolution (MDE) algorithm is proposed. This algorithm is different in three ways from basic DE. For initialization it utilizes opposition-based learning while in basic DE uniform random numbers serve this task. Secondly, in basic DE mutant individual is r...

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Bibliographic Details
Published in2009 International Conference of Soft Computing and Pattern Recognition pp. 196 - 201
Main Authors Ali, M., Pant, M., Abraham, A.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2009
Subjects
Computer applications
Computer industry
Constraint optimization
Containers
Design optimization
differential evolution
Integer linear programming
Laboratories
mutation operator
opposition based learning
Pattern recognition
Printing
Testing
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ISBN1424453305
9781424453306
DOI10.1109/SoCPaR.2009.48

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Summary:In the present study a Modified Differential Evolution (MDE) algorithm is proposed. This algorithm is different in three ways from basic DE. For initialization it utilizes opposition-based learning while in basic DE uniform random numbers serve this task. Secondly, in basic DE mutant individual is random while in MDE it is tournament best and finally MDE utilizes only one set of population as against two sets as used in basic DE. The performance of proposed algorithm is investigated and compared with basic differential evolution. The experiments conducted shows that proposed algorithm outperform the basic DE algorithm in all the benchmark problems and real life applications.
ISBN:1424453305
9781424453306
DOI:10.1109/SoCPaR.2009.48