Title :
A Modified Differential Evolution Algorithm and Its Application to Engineering Problems
Author :
Ali, Musrrat ; Pant, Millie ; Abraham, Ajith
Author_Institution :
Dept. of Paper Technol., Indian Inst. of Technol. Roorkee, Saharanpur, India
Abstract :
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.
Keywords :
learning (artificial intelligence); optimisation; DE; modified differential evolution algorithm; mutant individual; opposition-based learning; uniform random numbers; Computer applications; Computer industry; Constraint optimization; Containers; Design optimization; Integer linear programming; Laboratories; Pattern recognition; Printing; Testing; differential evolution; mutation operator; opposition based learning;
Conference_Titel :
Soft Computing and Pattern Recognition, 2009. SOCPAR '09. International Conference of
Conference_Location :
Malacca
Print_ISBN :
978-1-4244-5330-6
Electronic_ISBN :
978-0-7695-3879-2
DOI :
10.1109/SoCPaR.2009.48
