An Improved Chemical Reaction Optimization Approach for Solving Multiple Sequence Alignment Problem-Reference-Cited by-同舟云学术

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An Improved Chemical Reaction Optimization Approach for Solving Multiple Sequence Alignment Problem

Published:2022-03-25 Issue: Volume: Page:
ISSN:
Container-title:2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS)
language:
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Author:

Paruchuri Tirumala¹,Kancharla Gangadhara Rao²,Dara Suresh³

Affiliation:

1. College of Business Administration Jazan University,Faculty of MIS,Kingdom of Saudi Arabia

2. Acharya Nagarjuna University,Department of Computer Science and Engineering,Guntur,Andhra Pradesh,India

3. B V Raju Institute of Technology,Department of Computer Science and Engineering,Narsapur,Telangana,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9784926/9784957/09785024.pdf?arnumber=9785024

Reference27 articles.

1. Evolutionary computation techniques for multiple sequence alignment

2. Multiple sequence alignment using evolutionary programming

3. Using genetic algorithms to solve multiple sequence alignments;horng;Proc GECCO,0

4. Parallel iterative aligner with genetic algorithm;ishikawa;Genome Inform,1993

5. SAGA: sequence alignment by genetic algorithm

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