Elitist artificial bee colony with dynamic population size for multimodal optimization problems
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s11721-023-00228-1.pdf
Reference35 articles.
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2. Aydın, D. (2015). Composite artificial bee colony algorithms: From component-based analysis to high-performing algorithms. Applied Soft Computing, 32, 266–285.
3. Aydın, D., Yavuz, G., & Stützle, T. (2017). ABC-X: A generalized, automatically configurable artificial bee colony framework. Swarm Intelligence, 11(1), 1–38.
4. Basak, A., Das, S., & Tan, K. C. (2012). Multimodal optimization using a biobjective differential evolution algorithm enhanced with mean distance-based selection. IEEE Transactions on Evolutionary Computation, 17(5), 666–685.
5. Birattari, M., Yuan, Z., Balaprakash, P., et al. (2010). F-Race and iterated F-Race: An overview. In Experimental methods for the analysis of optimization algorithms (pp. 311–336). Springer.
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