Improved artificial bee colony algorithm for global optimization

By Weifeng Gao, Sanyang Liu. Information Processing Letters, 2011

344 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Industrial and Manufacturing Engineering

View Paper: https://www.semanticscholar.org/paper/e06e9f1a29b04b5a379c936132ac384b523f5370

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. Sedigheh Mahdavi
2. Kalyanmoy Deb
3. Shahryar Rahnamayan
4. Ling Huang
5. Sanyang Liu
6. Weifeng Gao
7. Selma Ayse Özel
8. Ezgi Zorarpacı

In Industrial and Manufacturing Engineering

1. Kalyanmoy Deb
2. Sedigheh Mahdavi
3. Shahryar Rahnamayan
4. Ling Huang
5. Weifeng Gao
6. Sanyang Liu

Citations in the corpus

• Opposition based learning: A literature review (2017, methodology): “An initial population was generated for the ABC algorithm by using OBL and chaotic systems in [86,84,85,65,363].”
• A Novel Artificial Bee Colony Algorithm Based on Modified Search Equation and Orthogonal Learning (2013, methodology): “2) with the search equations of improved artificial bee colony algorithm (IABC) [22].”
• A hybrid approach of differential evolution and artificial bee colony for feature selection (2016, background): “ABC algorithm has good performance exploitation with onlooker bee process however this process increases time required for convergence the algorithm cannot show its real performance (Gao and Liu, 2011).”