Benchmark Functions for CEC'2013 Special Session and Competition on Niching Methods for Multimodal Function Optimization'

By Xiaodong Li, Andries Petrus Engelbrecht, Michael G. Epitropakis. 2013

318 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/fdcd8bf90d20c37cda8b239d144ea3b0fe0fe966

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Swagatam Das
2. Seyedali Mirjalili
3. Eneko Osaba
4. Xin-She Yang
5. Javier Del Ser
6. Ponnuthurai Nagaratnam Suganthan
7. Pinar Çivicioglu
8. Seyed Mohammad Mirjalili

Citations in the corpus

• Bio-inspired computation: Where we stand and what's next (2019, background): “Multimodal optimization CEC’2013 [340] and editions ever since, new benchmark functions featuring linkage across dimensions [341] Measure performance is the ratio of found optima for different thresholds”
• Comprehensive Learning Particle Swarm Optimization Algorithm With Local Search for Multimodal Functions (2019, methodology): “To further evaluate the performance of CLPSO-LS, the CEC2013 benchmark functions for the special session of multimodal function optimization [45] are also tested.”
• Automated Algorithm Selection: Survey and Perspectives (2018, background): “, from the CEC competitions (Li et al., 2013) or the black-box optimisation benchmark (BBOB, Hansen et al.”