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  • The paper presents a successful application of an evolutionary based iterative optimization method called Prototype Optimization with Evolved Improvement Steps (POEMS) to the DNA fragment assembly problem. The DNA fragment assembly problem, known to be NP-hard, is of great importance as it constitutes an important step in the genome project. The POEMS is an iterative algorithm that employs an evolutionary algorithm for exploration of the current solution's neighborhood in each iteration of the optimization process. Experiments show that the proposed POEMS approach performs very well and generates better results than those generated by other state-of-the-art methods.
  • The paper presents a successful application of an evolutionary based iterative optimization method called Prototype Optimization with Evolved Improvement Steps (POEMS) to the DNA fragment assembly problem. The DNA fragment assembly problem, known to be NP-hard, is of great importance as it constitutes an important step in the genome project. The POEMS is an iterative algorithm that employs an evolutionary algorithm for exploration of the current solution's neighborhood in each iteration of the optimization process. Experiments show that the proposed POEMS approach performs very well and generates better results than those generated by other state-of-the-art methods. (en)
Title
  • Solving the DNA Fragment Assembly Problem Efficiently Using Iterative Optimization with Evolved Hypermutations
  • Solving the DNA Fragment Assembly Problem Efficiently Using Iterative Optimization with Evolved Hypermutations (en)
skos:prefLabel
  • Solving the DNA Fragment Assembly Problem Efficiently Using Iterative Optimization with Evolved Hypermutations
  • Solving the DNA Fragment Assembly Problem Efficiently Using Iterative Optimization with Evolved Hypermutations (en)
skos:notation
  • RIV/68407700:21230/10:00171004!RIV11-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM6840770012)
http://linked.open...vai/riv/dodaniDat
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http://linked.open...dnocenehoVysledku
  • 288565
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/10:00171004
http://linked.open...riv/jazykVysledku
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  • Optimization; evolutionary algorithms; fragment assembly problem (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [CE481A47BD86]
http://linked.open...v/mistoKonaniAkce
  • Portland, Oregon
http://linked.open...i/riv/mistoVydani
  • New York
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  • Proceedings of the 12th annual conference comp on Genetic and evolutionary computation
http://linked.open...in/vavai/riv/obor
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  • Buryan, Petr
  • Kubalík, Jiří
  • Wagner, L.
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http://linked.open...n/vavai/riv/zamer
number of pages
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  • ACM
https://schema.org/isbn
  • 978-1-4503-0073-5
http://localhost/t...ganizacniJednotka
  • 21230
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