Sciweavers

TEC
2011

Differential Evolution: A Survey of the State-of-the-Art

12 years 10 months ago
Differential Evolution: A Survey of the State-of-the-Art
—Differential evolution (DE) is arguably one of the most powerful stochastic real-parameter optimization algorithms in current use. DE operates through similar computational steps as employed by a standard evolutionary algorithm (EA). However, unlike traditional EAs, the DE-variants perturb the currentgeneration population members with the scaled differences of randomly selected and distinct population members. Therefore, no separate probability distribution has to be used for generating the offspring. Since its inception in 1995, DE has drawn the attention of many researchers all over the world resulting in a lot of variants of the basic algorithm with improved performance. This paper presents a detailed review of the basic concepts of DE and a survey of its major variants, its application to multiobjective, constrained, large scale, and uncertain optimization problems, and the theoretical studies conducted on DE so far. Also, it provides an overview of the significant engineering ...
Swagatam Das, Ponnuthurai Nagaratnam Suganthan
Added 15 May 2011
Updated 15 May 2011
Type Journal
Year 2011
Where TEC
Authors Swagatam Das, Ponnuthurai Nagaratnam Suganthan
Comments (0)