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Findings in the Area of Cancer Reported from Shahrood University of Technology (Using Particle Swarm Optimization and Genetic Algorithms for Optimal Control of Non-linear Fractional-order Chaotic System of Cancer Cells).
- Source :
- Cancer Weekly; 6/27/2023, p272-272, 1p
- Publication Year :
- 2023
-
Abstract
- According to the news editors, the research concluded: "All the results obtained for the particle swarm optimization method show that this method has also been very successful and have results very close to the genetic algorithm method." Particle swarm optimization method and genetic algorithms were used to solve the problem of optimal control of cancer cell growth. Keywords: Semnan; Iran; Algorithms; Cancer; Emerging Technologies; Genetic Algorithm; Genetic Algorithms; Genetics; Health and Medicine; Machine Learning; Mathematics; Oncology; Particle Swarm Optimization EN Semnan Iran Algorithms Cancer Emerging Technologies Genetic Algorithm Genetic Algorithms Genetics Health and Medicine Machine Learning Mathematics Oncology Particle Swarm Optimization 272 272 1 06/26/23 20230627 NES 230627 2023 JUN 27 (NewsRx) -- By a News Reporter-Staff News Editor at Cancer Weekly -- Investigators publish new report on Cancer. [Extracted from the article]
- Subjects :
- PARTICLE swarm optimization
CANCER cells
CANCER cell growth
Subjects
Details
- Language :
- English
- ISSN :
- 10717218
- Database :
- Complementary Index
- Journal :
- Cancer Weekly
- Publication Type :
- Periodical
- Accession number :
- 164464995