Transplant Evolution for Optimization of General Controllers

التفاصيل البيبلوغرافية
العنوان: Transplant Evolution for Optimization of General Controllers
المؤلفون: Pavel Osmera, Roman Weisser, Jan Roupec, Radomil Matousek
المصدر: New Trends in Technologies: Control, Management, Computational Intelligence and Network Systems
ECMS
بيانات النشر: IntechOpen, 2021.
سنة النشر: 2021
مصطلحات موضوعية: Genetics, Mutation (genetic algorithm), Genotype, Crossover, Biology, Phenotype
الوصف: This paper describes a new method of evolution that is named Transplant Evolution (TE). None of the individuals of the transplant evolution contains genotype. Each individual of the transplant evolution contains only phenotype. Reproduction methods as crossover and mutation work and store only the phenotype. The hierarchical structure of grammar-differential evolution that is used for finding optimal structures and parameters of general controllers is described.
اللغة: English
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8207e8d0315e8953768fa258f30f83a9
http://www.intechopen.com/articles/show/title/transplant-evolution-for-optimization-of-general-controllers
حقوق: OPEN
رقم الأكسشن: edsair.doi.dedup.....8207e8d0315e8953768fa258f30f83a9
قاعدة البيانات: OpenAIRE