On the application of co-operative swarm optimization in the solution of crystal structures from x-ray diffraction data


Тип публикации: статья из журнала (материалы конференций, опубликованные в журналах)

Конференция: 6th International Conference on Swarm Intelligence, ICSI 2015 held in conjunction with the 2nd BRICS Congress on Computational Intelligence, CCI 2015; Beijing, China; Beijing, China

Год издания: 2015

Идентификатор DOI: 10.1007/978-3-319-20466-6_10

Ключевые слова: Co-operation of biologically inspired algorithms, Crystal structure solution, Genetic algorithms, X-ray diffraction data, Artificial intelligence, Cobalt, Crystal atomic structure, Crystal structure, Degrees of freedom (mechanics), Evolutionary algorithms, Optimization, X ray diffraction, Biologically inspired algorithms, Optimization algorithms, Parallel genetic algorithms, Self-configuring genetic algorithms, Structure solutions, Swarm optimization, Swarm optimization algorithms, Algorithms

Аннотация: A co-operative method based on five biology-related optimization algorithms is used in solving crystal structures from X-ray diffraction data. This method does not need essential effort for its adjustment to the problem in hand but demonstrates high performance. This algorithm is compared with a sequential two-level genetic algoritПоказать полностьюhm, a multi-population parallel genetic algorithm and a self-configuring genetic algorithm as well as with two problem specific approaches. It is demonstrated on a special crystal structure with 7 atoms and 21 degrees of freedom on which the co-operative swarm optimization algorithm exhibits comparative reliability but works faster than other used algorithms. Perspective directions for improving the approach are discussed. © Springer International Publishing Switzerland 2015.

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Журнал: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Выпуск журнала: Vol. 9140

Номера страниц: 89-96


  • Zaloga A. (Siberian Federal University)
  • Yakimov I. (Siberian Federal University)
  • Burakov S. (Siberian State Aerospace University)
  • Semenkin E. (Siberian State Aerospace University)
  • Akhmedova S. (Siberian State Aerospace University)
  • Semenkina M. (Siberian State Aerospace University)
  • Sopov E. (Siberian State Aerospace University)

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