Application of Object-Oriented Simulation in Evolutionary Algorithms

  • Yuriy Skobtsov
  • Alexander Sekirin
  • Svetlana Zemlyanskaya
  • Olga Chengar
  • Vadim SkobtsovEmail author
  • Semyon Potryasaev
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 466)


In paper two-level genetic and ant algorithms are proposed to optimize the functioning of the automated technological machining complex. For suggested genetic and unt algorithms it is designed the object-oriented simulation model, which allows to calculate the fitness function and evaluate potential solutions. The problem-oriented crossover, mutation and reproduction operators for two-level genetic algorithm are developed. The transition and calculation of the concentration for synthetic pheromone rules are determined for suggested ant algorithms.


Genetic algorithms Ant colony optimization Object-oriented simulation model Production schedule 



The research is supported by the Russian Science Foundation (project № 16-19-00199).


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Authors and Affiliations

  • Yuriy Skobtsov
    • 1
  • Alexander Sekirin
    • 2
  • Svetlana Zemlyanskaya
    • 2
  • Olga Chengar
    • 3
  • Vadim Skobtsov
    • 3
    Email author
  • Semyon Potryasaev
    • 4
    • 5
  1. 1.Peter the Great St. Petersburg Polytechnic UniversitySt. PetersburgRussia
  2. 2.Donetsk National Technical UniversityDonetskUkraine
  3. 3.United Institute of Informatics ProblemsNational Academy of Sciences of BelarusMinskBelarus
  4. 4.St. Petersburg Institute of Informatics and AutomationRussian Academy of Sciences (SPIIRAS)St. PetersburgRussia
  5. 5.St. Petersburg National Research University of Information TechnologiesMechanics and Optics (ITMO)St. PetersburgRussia

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