An improved artificial bee colony algorithm for balancing local and global search behaviors in continuous optimization
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Software
Link
http://link.springer.com/content/pdf/10.1007/s13042-020-01094-7.pdf
Reference121 articles.
1. Abraham A, Jatoth RK, Rajasekhar A (2012) Hybrid differential artificial bee colony algorithm. J Comput Theor Nanosci 9(2):249–257
2. Abro AG, Mohamad-Saleh J (2012) Enhanced global-best artificial bee colony optimization algorithm. In: 2012 Sixth UKSim/AMSS European symposium on computer modelling and simulation (EMS), pp 95–100
3. Abro AG, Mohamad-Saleh J (2012) Intelligent scout-bee based artificial bee colony optimization algorithm. In: 2012 IEEE international conference on control system, computing and engineering (ICCSCE 2012), pp 380–385
4. Aderhold A, Diwold K, Scheidler A, Middendorf M (2010) Artificial bee colony optimization: a new selection scheme and its performance. In: Nicso 2010: nature inspired cooperative strategies for optimization, vol 284, pp 283–294
5. Akay B, Karaboga D (2009) Parameter tuning for the artificial bee colony algorithm. In: Computational collective intelligence: semantic web, social networks and multiagent systems, vol 5796, pp 608–619
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