Chaotic step length artificial bee colony algorithms for protein structure prediction-Reference-Cited by-同舟云学术

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Chaotic step length artificial bee colony algorithms for protein structure prediction

Published:2020-02-17 Issue:2 Volume:23 Page:617-629
ISSN:0972-0502
Container-title:Journal of Interdisciplinary Mathematics
language:en
Short-container-title:Journal of Interdisciplinary Mathematics

Author:

Saxena Akash¹^ORCID,Shekhawat Shalini²,Sharma Ajay³,Sharma Harish⁴,Kumar Rajesh⁵

Affiliation:

1. Department of Electrical Engineering, Swami Keshvanand Institute of Technology Management & Gramothan, Jaipur, Jaipur 302017, Rajasthan, India

2. Department of Mathematics, Swami Keshvanand Institute of Technology Management & Gramothan, Jaipur, Jaipur 302017, Rajasthan, India.

3. Department of Electrical Engineering, Government Engineering College, Jhalawar 326023, Rajasthan, India.

4. Department of Computer Science and Engineering, Rajasthan Technical University, Kota 324010, Rajasthan, India.

5. Department of Electrical Engineering, Malaviya National Institute of Technology, Jaipur, Jaipur 302017, Rajasthan, India.

Publisher

Informa UK Limited

Subject

Applied Mathematics,Analysis

Link

https://www.tandfonline.com/doi/pdf/10.1080/09720502.2020.1731967

Reference18 articles.

1. Principles of protein folding - A perspective from simple exact models

2. Toy model for protein folding

3. A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm

4. Selection of appropriate metaheuristic algorithms for protein structure prediction in AB off-lattice model: a perspective from fitness landscape analysis

5. Protein secondary structure optimization using an improved artificial bee colony algorithm based on AB off-lattice model

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