Synergistic fibroblast optimization: a novel nature-inspired computing algorithm

Author:

Dhivyaprabha T TORCID,Subashini P,Krishnaveni M

Publisher

Zhejiang University Press

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing

Reference53 articles.

1. Balouek–Thomert D, Bhattacharya AK, Caron E, et al., 2016. Parallel differential evolution approach for cloud workflow placements under simultaneous optimization of multiple objectives. Proc IEEE Congress on Evolutionary Computation, p.822–829. https://doi.org/10.1109/CEC.2016.7743876

2. Banerjee S, Bharadwaj A, Gupta D, et al., 2012. Remote sensing image classification using artificial bee colony algorithm. Int J Comput Sci Inform, 2(3):2231–5292

3. Chen GHG, Rockafellar RT, 1997. Convergence rates in forward–backward splitting. SIAM J Optim, 7(2):421–444. https://doi.org/10.1137/S1052623495290179

4. Chuang LY, Chang HW, Tu CJ, et al., 2008. Improved binary PSO for feature selection using gene expression data. Comput Biol Chem, 32(1):29–38. https://doi.org/10.1016/j.compbiolchem.2007.09.005

5. Colaço MJ, Dulikravich GS, 2009. A survey of basic deterministic, heuristic and hybrid methods for single objective optimization and response surface generation. In: Orlande HRB, Fudym O, Maillet D, et al. (Eds.), Thermal Measurements and Inverse Techniques. CRC Press, Boca Raton, p.355–406.

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