Hybrid Schemes for Cultural Algorithms
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-4633-2_6
Reference62 articles.
1. Ali MZ, Reynolds RG (2014) Cultural algorithms: a Tabu search approach for the optimization of engineering design problems. Soft Comput 18. https://doi.org/10.1007/s00500-013-1169-5
2. Ali MZ, Awad N, Reynolds RG (2014a) Balancing search direction in cultural algorithm for enhanced global numerical optimization. In: 2014 IEEE symposium on Swarm intelligence. IEEE, pp 1–7
3. Ali MZ, Awad NH, Suganthan PN, Reynolds RG (2016a) A modified cultural algorithm with a balanced performance for the differential evolution frameworks. Knowl-Based Syst 111:73–86. https://doi.org/10.1016/j.knosys.2016.08.005
4. Ali MZ, Awad NH, Suganthan PN et al (2016b) A novel hybrid Cultural Algorithms framework with trajectory-based search for global numerical optimization. Inf Sci 334–335:219–249. https://doi.org/10.1016/j.ins.2015.11.032
5. Arpaia P, Lucariello G, Zanesco A (2007) Automatic fault isolation by cultural algorithms with differential influence. IEEE Trans Instrum Meas 56:1573–1582. https://doi.org/10.1109/TIM.2007.903604
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