Rosenbrock artificial bee colony algorithm for accurate global optimization of numerical functions

By Fei Kang, Junjie Li, Zhenyue Ma. Information Sciences, 2011

343 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics, Numerical Analysis

View Paper: https://www.semanticscholar.org/paper/0bf8cc292ad5c3601e9ce7c8bb1bb0a7d974e9e8

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. Dervis Karaboga
2. Sanyang Liu
3. Weifeng Gao
4. Abdolreza Hatamlou
5. Ling Huang
6. N. Karaboga
7. Celal Öztürk
8. Beyza Görkemli

In Computational Theory and Mathematics

1. Abdolreza Hatamlou
2. Weifeng Gao
3. Sanyang Liu
4. Ling Huang
5. N. Karaboga
6. Celal Öztürk
7. Beyza Görkemli
8. Dervis Karaboga

In Numerical Analysis

1. Weifeng Gao
2. Ling Huang
3. Sanyang Liu

Citations in the corpus

• A comprehensive survey: artificial bee colony (ABC) algorithm and applications (2012, methodology): “Karaboga and Akay (2011) described a modified ABC algorithm for constrained optimization problems and compared its performance against those of state-of-the-art algorithms for a set of constrained test problems.”
• A Novel Artificial Bee Colony Algorithm Based on Modified Search Equation and Orthogonal Learning (2013, methodology): “[26] used the Rosenbrock’s rotational direction method to implement the exploitation phase and proposed the Rosenbrock ABC.”
• Black hole: A new heuristic optimization approach for data clustering (2013, background): “Nature-inspired metaheuristic algorithms are becoming popular and powerful in solving optimization problems [9,49,53,86].”
• Improved artificial bee colony algorithm for global optimization (2011, methodology): “At last, IABC is compared with CABC [18], GABC [14] and RABC [17].”