Soft Computing-Based Optimization of pH Control System of Sugar Mill-Reference-Cited by-同舟云学术

Soft Computing-Based Optimization of pH Control System of Sugar Mill

Published:2021-07-16 Issue: Volume: Page:271-281
ISSN:2367-3370
Container-title:Expert Clouds and Applications
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Author:

Sunori Sandeep Kumar,Negi Pushpa Bhakuni,Mittal Amit,Bhawana ,Goyal Pratul,Juneja Pradeep Kumar

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-2126-0_24

Reference15 articles.

1. Sunori, S.K., Shree, S., Juneja, P.K.: Control of sugarcane crushing mill process: a comparative analysis. In: International Conference on Soft Computing Techniques and Implementations (ICSCTI), pp. 1–5 (2015)

2. Rukkumani, V., Khavya, S., Madhumithra, S., Nandhini Devi, B.: Chemical process control in sugar manufacturing unit. IJAET, 2732–2738 (2014)

3. Sunori, S.K., Juneja, P.K., Chaturvedi, M., Aswal, P., Singh, S. K., Shree, S.: GA based optimization of quality of sugar in sugar industry. Cienc. Tec. Vitivinicola 31(4), 243–248 (2016). ISSN: 0254-0223

4. Sivanandam, S.N., Deepa, S.N.: Principles of Soft Computing, 2nd edn. Wiley (2011)

5. Yang, X.-S.: Chapter 5—Genetic algorithms. Nature-Inspired Optimization Algorithms, pp. 77–87. Elsevier (2014)

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