The best-so-far selection in Artificial Bee Colony algorithm

By Anan Banharnsakun, T. Achalakul, B. Sirinaovakul. Applied Soft Computing, 2011

414 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/f83cb5ac0f08d60697e4f983e13f82a2016196fb

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

1. Ling Huang
2. Sanyang Liu
3. Weifeng Gao
4. Daniel Zaldivar
5. Erik Valdemar Cuevas Jiménez
6. Marco Antonio Pérez Cisneros
7. Miguel Cienfuegos
8. Sedigheh Mahdavi

Citations in the corpus

• Improved artificial bee colony algorithm for global optimization (2011, background): “Some researchers [14,15] took advantage of the information of the best solutions to improve the performance of the ABC”
• A Novel Artificial Bee Colony Algorithm Based on Modified Search Equation and Orthogonal Learning (2013, background): “[18] presented a modified search equation for the onlooker bees.”
• A swarm optimization algorithm inspired in the behavior of the social-spider (2013, background): “A detailed description of each function is given in the Appendix A.”