Modification of ABC Algorithm for Adaptation to Time-Varying Functions

Author:

Nishida Takeshi1

Affiliation:

1. Kyushu Institute of Technology

Publisher

Institute of Electrical Engineers of Japan (IEE Japan)

Subject

Electrical and Electronic Engineering

Reference13 articles.

1. (1) D. Karaboga: “An idea based on honeybee swarm for numerical optimization”, Technical Report TR06, Erciyes University, Engineering Faculty, Computer Engineering Department (2005)

2. (2) D. Karaboga and B. Basturk: “On the performance of artificial bee colony (ABC) algorithm”, Applied Soft Computing, Vol. 8, pp. 687-697 (2007)

3. (3) F. Kang, J. Li, and Z. Ma: “Rosenbrock artificial bee colony algorithm for accurate global optimization of numerical functions”, Information Sciences, Vol. 181, pp. 3508-3531 (2011)

4. Improved artificial bee colony algorithm for global optimization

5. (5) W. Gao and S. Liu: “A modified artificial bee colony algorithm”, Computers & Operations Research, Letters, Vol. 39, pp. 687-697 (2012)

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1. Artificial Bee Colony Algorithm Based on Adaptive Local Information Sharing Meets Multiple Dynamic Environments;SICE Journal of Control, Measurement, and System Integration;2019-01-01

2. Artificial Bee Colony Algorithm with Principal Component Analysis;Electronics and Communications in Japan;2016-08-12

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