Matches in SemOpenAlex for { <https://semopenalex.org/work/W3046343048> ?p ?o ?g. }
Showing items 1 to 80 of
80
with 100 items per page.
- W3046343048 endingPage "29" @default.
- W3046343048 startingPage "19" @default.
- W3046343048 abstract "Introduction. The spatial protein structure folding is an important and actual problem in biology. Considering the mathematical model of the task, we can conclude that it comes down to the combinatorial optimization problem. Therefore, genetic and mimetic algorithms can be used to find a solution. The article proposes a genetic algorithm with a new greedy stochastic crossover operator, which differs from classical approaches with paying attention to qualities of possible ancestors. The purpose of the article is to describe a genetic algorithm with a new greedy stochastic crossover operator, reveal its advantages and disadvantages, compare the proposed algorithm with the best-known implementations of genetic and memetic algorithms for the spatial protein structure prediction, and make conclusions with future steps suggestion afterward. Result. The work of the proposed algorithm is compared with others on the basis of 10 known chains with a length of 48 first proposed in [13]. For each of the chain, a global minimum of free energy was already precalculated. The algorithm found 9 out of 10 spatial structures on which a global minimum of free energy is achieved and also demonstrated a better average value of solutions than the comparing algorithms. Conclusion. The quality of the genetic algorithm with the greedy stochastic crossover operator has been experimentally confirmed. Consequently, its further research is promising. For example, research on the selection of optimal algorithm parameters, improving the speed and quality of solutions found through alternative coding or parallelization. Also, it is worth testing the proposed algorithm on datasets with proteins of other lengths for further checks of the algorithm’s validity. Keywords: spatial protein structure, combinatorial optimization, genetic algorithms, crossover operator, stochasticity." @default.
- W3046343048 created "2020-08-07" @default.
- W3046343048 creator A5043455375 @default.
- W3046343048 creator A5071951000 @default.
- W3046343048 date "2020-07-24" @default.
- W3046343048 modified "2023-10-07" @default.
- W3046343048 title "Genetic Algorithm with New Stochastic Greedy Crossover Operator for Protein Structure Folding Problem" @default.
- W3046343048 cites W1519786096 @default.
- W3046343048 cites W1640378004 @default.
- W3046343048 cites W1991498388 @default.
- W3046343048 cites W2006332277 @default.
- W3046343048 cites W2060393037 @default.
- W3046343048 cites W2080382112 @default.
- W3046343048 cites W2139415631 @default.
- W3046343048 cites W2257563257 @default.
- W3046343048 cites W2530153422 @default.
- W3046343048 cites W2793746624 @default.
- W3046343048 cites W2890337345 @default.
- W3046343048 cites W2891674877 @default.
- W3046343048 cites W2983348255 @default.
- W3046343048 cites W4299796063 @default.
- W3046343048 doi "https://doi.org/10.34229/2707-451x.20.2.3" @default.
- W3046343048 hasPublicationYear "2020" @default.
- W3046343048 type Work @default.
- W3046343048 sameAs 3046343048 @default.
- W3046343048 citedByCount "1" @default.
- W3046343048 countsByYear W30463430482020 @default.
- W3046343048 crossrefType "journal-article" @default.
- W3046343048 hasAuthorship W3046343048A5043455375 @default.
- W3046343048 hasAuthorship W3046343048A5071951000 @default.
- W3046343048 hasBestOaLocation W30463430481 @default.
- W3046343048 hasConcept C104317684 @default.
- W3046343048 hasConcept C11413529 @default.
- W3046343048 hasConcept C122507166 @default.
- W3046343048 hasConcept C126255220 @default.
- W3046343048 hasConcept C154945302 @default.
- W3046343048 hasConcept C158448853 @default.
- W3046343048 hasConcept C17020691 @default.
- W3046343048 hasConcept C185592680 @default.
- W3046343048 hasConcept C33923547 @default.
- W3046343048 hasConcept C41008148 @default.
- W3046343048 hasConcept C51823790 @default.
- W3046343048 hasConcept C55493867 @default.
- W3046343048 hasConcept C86339819 @default.
- W3046343048 hasConcept C8880873 @default.
- W3046343048 hasConceptScore W3046343048C104317684 @default.
- W3046343048 hasConceptScore W3046343048C11413529 @default.
- W3046343048 hasConceptScore W3046343048C122507166 @default.
- W3046343048 hasConceptScore W3046343048C126255220 @default.
- W3046343048 hasConceptScore W3046343048C154945302 @default.
- W3046343048 hasConceptScore W3046343048C158448853 @default.
- W3046343048 hasConceptScore W3046343048C17020691 @default.
- W3046343048 hasConceptScore W3046343048C185592680 @default.
- W3046343048 hasConceptScore W3046343048C33923547 @default.
- W3046343048 hasConceptScore W3046343048C41008148 @default.
- W3046343048 hasConceptScore W3046343048C51823790 @default.
- W3046343048 hasConceptScore W3046343048C55493867 @default.
- W3046343048 hasConceptScore W3046343048C86339819 @default.
- W3046343048 hasConceptScore W3046343048C8880873 @default.
- W3046343048 hasIssue "2" @default.
- W3046343048 hasLocation W30463430481 @default.
- W3046343048 hasLocation W30463430482 @default.
- W3046343048 hasOpenAccess W3046343048 @default.
- W3046343048 hasPrimaryLocation W30463430481 @default.
- W3046343048 hasRelatedWork W1527074430 @default.
- W3046343048 hasRelatedWork W1966810656 @default.
- W3046343048 hasRelatedWork W1980226721 @default.
- W3046343048 hasRelatedWork W2153397699 @default.
- W3046343048 hasRelatedWork W2349256536 @default.
- W3046343048 hasRelatedWork W2358885468 @default.
- W3046343048 hasRelatedWork W2359871316 @default.
- W3046343048 hasRelatedWork W2369883669 @default.
- W3046343048 hasRelatedWork W2765307330 @default.
- W3046343048 hasRelatedWork W2900273430 @default.
- W3046343048 isParatext "false" @default.
- W3046343048 isRetracted "false" @default.
- W3046343048 magId "3046343048" @default.
- W3046343048 workType "article" @default.