Self-adaptive Differential Evolution Algorithm for Constrained Real-Parameter Optimization
By Vicky Ling Huang, A. K. Qin, Ponnuthurai Nagaratnam Suganthan. International Conference on Evolutionary Computation, 2006
322 citations recorded by the source corpus.
In this paper, we propose an extension of Self-adaptive Differential Evolution algorithm (SaDE) to solve optimization problems with constraints. In comparison with the original SaDE algorithm, the replacement criterion was modified for handling constraints. The performance of the proposed method is reported on the set of 24 benchmark problems provided by CEC2006 special session on constrained real parameter optimization.
Subfields: Artificial Intelligence, Computational Theory and Mathematics
View Paper: https://www.semanticscholar.org/paper/db098b7686603d63a8f1ec609fe096a71912f80d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Efrén Mezura-Montes
- Ponnuthurai Nagaratnam Suganthan
- Carlos Artemio Coello Coello
- Rammohan Mallipeddi
- Seyedali Mirjalili
- Swagatam Das
- Seyed Mohammad Mirjalili
- Andrew Lewis
In Computational Theory and Mathematics
- Efrén Mezura-Montes
- Ponnuthurai Nagaratnam Suganthan
- Carlos Artemio Coello Coello
- Rammohan Mallipeddi
- Seyedali Mirjalili
- Seyed Mohammad Mirjalili
- Swagatam Das
- Ali Kaveh
Citations in the corpus
- Constraint-handling in nature-inspired numerical optimization: Past, present and future (2011, methodology): “The feasibility rules have also been adopted by DE-based approaches which use self-adaptive mechanisms to choose among their variants, such as SaDE [73].”
- Ensemble of Constraint Handling Techniques (2010, methodology): “DE has also been recently used to solve constrained optimization problems [7], [10]–[15].”
- Parameter Control in Evolutionary Algorithms: Trends and Challenges (2015, unknown): “SaDE was extended with multiple operators in [107]”