Cuckoo search algorithm and wind driven optimization based study of satellite image segmentation for multilevel thresholding using Kapur's entropy
By Ashish Kumar Bhandari, Vineet Kumar Singh, Anil Kumar, Girish Kumar Singh. Expert systems with applications, 2014
437 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/04524df954801d9bea98ddc2db56ccbe5fb7f954
How researchers see this paper
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In Artificial Intelligence
- Afeez Abidemi
- Richard Binns
- Emmanuel Gbenga Dada
- Derick Mathew
- Ban Mohammed Khammas
- C. Rani
- Yue Wang
- Krishna K. Busawon
In Computer Vision and Pattern Recognition
Citations in the corpus
- Bio inspired computing - A review of algorithms and scope of applications (2016, methodology): “Cuckoo search (Kar, 2014; Yang & Deb, 2014; Walia and Kapoor, 2014; Bhandari et al., 2014; Araghi et al., 2014; Kumar and Rawat, 2015; Gotmare et al., 2015) has been used for multicriteria heuristic search problems, multi-objective heuristic problems, maximization of multiple opposite objectives, op”
- Metaheuristic algorithms for PID controller parameters tuning: review, approaches and open problems (2022, methodology): “The pseudocode, equations and application details for CS can be seen in Yang and Deb (2009); Bhandari et al. (2014); Shair et al. (2015); Mamizadeh et al. (2018); Rajabioun (2011).”
- Wind-Driven Optimization Technique for Estimation of Solar Photovoltaic Parameters (2018, methodology): “The optimized values of these constants are generated using covariance matrix adaptation evolution strategy (CMAES) [18].”