Improved artificial bee colony algorithm for global optimization-Reference-Cited by-同舟云学术

Improved artificial bee colony algorithm for global optimization

Published:2011-09 Issue:17 Volume:111 Page:871-882
ISSN:0020-0190
Container-title:Information Processing Letters
language:en
Short-container-title:Information Processing Letters

Author:

Gao Weifeng,Liu Sanyang

Publisher

Elsevier BV

Subject

Computer Science Applications,Information Systems,Signal Processing,Theoretical Computer Science

Reference29 articles.

1. Genetic algorithms and their applications;Tang;IEEE Signal Process. Mag.,1996

2. J. Kennedy, R. Eberhart, Particle swarm optimization, in: Proc. IEEE Congr. Evol. Comput. Australia, 1995, pp. 1942–1948.

3. Ant colony system: A cooperative learning approach to the traveling salesman problem;Dorigo;IEEE Trans. Evol. Comput.,1997

4. Biogeography-based optimization;Simon;IEEE Trans. Evol. Comput.,2008

5. D. Karaboga, An idea based on honeybee swarm for numerical optimization, Technical Report TR06, Erciyes University, Engineering Faculty, Computer Engineering Department, 2005.

Cited by 269 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A quantum artificial bee colony algorithm based on quantum walk for the 0–1 knapsack problem;Physica Scripta;2024-08-29

2. Review on path planning methods for autonomous underwater vehicle;Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment;2024-08-08

3. A compact artificial bee colony metaheuristic for global optimization problems;Expert Systems;2024-05-21

4. DBO-CNN-BiLSTM: Dung Beetle Optimization Algorithm-Based Thrust Estimation for Micro-Aero Engine;Aerospace;2024-04-26

5. Satellite Image Segmentation using Swarm Intelligence;2024 2nd International Conference on Disruptive Technologies (ICDT);2024-03-15