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International Journal of Nonlinear Analysis and Applications، جلد ۱۵، شماره ۷، صفحات ۱۸۳-۱۹۵
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عنوان انگلیسی The application of meta-synthesis in the identification of new combined genetic algorithm methods to solve complex problems
چکیده انگلیسی مقاله The current research aims to identify new combined genetic algorithm methods to solve complex problems. The researcher has analyzed the results and findings of the previous researchers using a systematic reviewing approach and has identified the effective factors by implementing the 7 steps of Sandelowski and Barroso’s method. Among 4320 articles, 54 articles were selected based on the CASP method. In this manner, in order to evaluate reliability and quality control, the Kappa index was used, and its value was deemed to be in high compatibility regarding the identified factors. The results of the analysis of the collected data in ATLAS TI software led to the identification of 9 categories and 33 primary codes of new combined genetic algorithm methods to solve complex problems. Based on the coding, 9 categories, and 33 initial codes were identified. The identified categories are layout design, supply network, programming, Anticipation, inventory control, information security, imaging, medical imaging and wireless network.
کلیدواژه‌های انگلیسی مقاله Genetic algorithm, complex problems, Meta-synthesis
نویسندگان مقاله Mohammad Ali Ebrahimi |
Department of Industrial Management, Yazd Branch, Islamic Azad University, Yazd, Iran

Hassan Dehghan Dehnavi |
Department of Industrial Management, Yazd Branch, Islamic Azad University, Yazd, Iran

Mohammad Mirabi |
Department of Industrial Engineering, Meybod University, Meybod, Iran

Mohammad Taghi Honari |
Department of Industrial Management, Yazd Branch, Islamic Azad University, Yazd, Iran

Abolfazl Sadeghian |
Department of Industrial Management, Yazd Branch, Islamic Azad University, Yazd, Iran

نشانی اینترنتی https://ijnaa.semnan.ac.ir/article_7998_7842f4d67dadf67a387d632687e52bfe.pdf
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