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A Metaheuristic Approach to Protein Structure PredictionContinuous Landscape Analysis Using Random Walk Algorithm

A Metaheuristic Approach to Protein Structure Prediction: Continuous Landscape Analysis Using... [This chapter describes a chaos based random walk (CRW) algorithm for analyzing landscape structure in continuous search spaces. Unlike the existing random walks, no fixed step size is required in the proposed algorithm, rather conduct the random walk. The chaotic map is used to generate the chaotic pseudo random numbers (CPRN) for determining the variable-scaled step size and direction. The superiority of the new method has been demonstrated while comparing it with the simple and progressive random walk algorithms using histogram analysis. The performance of the proposed CRW algorithm is evaluated on the IEEE Congers on Evolutionary Computation (CEC) 2013 benchmark functions in continuous search space having different levels of complexity. The proposed method is applied to analyzing the landscape structure for protein structure prediction problem in continuous search space.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

A Metaheuristic Approach to Protein Structure PredictionContinuous Landscape Analysis Using Random Walk Algorithm

Part of the Emergence, Complexity and Computation Book Series (volume 31)
Jana, Nanda Dulal; Das, Swagatam; Sil, Jaya
Springer Journals — Mar 3, 2018
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46 pages

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Publisher
Springer International Publishing
Copyright
© Springer International Publishing AG 2018
ISBN
978-3-319-74774-3
Pages
39 –85
DOI
10.1007/978-3-319-74775-0_3
Publisher site
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Abstract

[This chapter describes a chaos based random walk (CRW) algorithm for analyzing landscape structure in continuous search spaces. Unlike the existing random walks, no fixed step size is required in the proposed algorithm, rather conduct the random walk. The chaotic map is used to generate the chaotic pseudo random numbers (CPRN) for determining the variable-scaled step size and direction. The superiority of the new method has been demonstrated while comparing it with the simple and progressive random walk algorithms using histogram analysis. The performance of the proposed CRW algorithm is evaluated on the IEEE Congers on Evolutionary Computation (CEC) 2013 benchmark functions in continuous search space having different levels of complexity. The proposed method is applied to analyzing the landscape structure for protein structure prediction problem in continuous search space.]

Published: Mar 3, 2018

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