Restarting and recentering genetic algorithm variations for DNA fragment assembly: The necessity of a multi-strategy approach-Reference-Cited by-同舟云学术

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Restarting and recentering genetic algorithm variations for DNA fragment assembly: The necessity of a multi-strategy approach

Published:2016-12 Issue: Volume:150 Page:35-45
ISSN:0303-2647
Container-title:Biosystems
language:en
Short-container-title:Biosystems

Author:

Hughes James Alexander,Houghten Sheridan,Ashlock Daniel

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Elsevier BV

Subject

Applied Mathematics,General Biochemistry, Genetics and Molecular Biology,Modeling and Simulation,General Medicine,Statistics and Probability

Reference50 articles.

1. The genome sequence of Drosophila melanogaster;Adams;Science,2000

2. A hybrid genetic algorithm for the dna fragment assembly problem;Alba,2008

3. Characterization of extremal epidemic networks with diffusion characters;Ashlock,2008

4. Ring optimization of side effect machines;Ashlock;Intell. Eng. Syst. Artif. Neural Netw.,2009

5. Evolution of artificial ring species;Ashlock,2008

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1. On the role of metaheuristic optimization in bioinformatics;International Transactions in Operational Research;2022-06-16

2. Optimizing the DNA fragment assembly using metaheuristic-based overlap layout consensus approach;Applied Soft Computing;2020-07

3. An efficient discrete PSO coupled with a fast local search heuristic for the DNA fragment assembly problem;Information Sciences;2020-02

4. An Efficient-Assembler Whale Optimization Algorithm for DNA Fragment Assembly Problem: Analysis and Validations;IEEE Access;2020

5. Maximum Exact Matches for High Throughput Genome Subsequence Assembly;IETE Journal of Research;2019-04-15

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