A numerical study of some modified differential evolution algorithms

作者：Kaelo P; Ali MM^*

来源：European Journal of Operational Research, 2006, 169(3): 1176-1184.

DOI：10.1016/j.ejor.2004.08.047

• global optimization
• population set based method
• modified differential evolution
• continuous variable

Modifications in mutation and localization in acceptance rule are suggested to the differential evolution algorithm for global optimization. Numerical experiments indicate that the resulting algorithms are considerably better than the original differential evolution algorithm. Therefore, they offer a reasonable alternative to many currently available stochastic algorithms, especially for problems requiring 'direct search type' methods. Numerical study is carried out using a set of 50 test problems many of which are inspired by practical applications.

• 出版日期2006-3-16