A Novel Selection Approach for Genetic Algorithms for Global Optimization of Multimodal Continuous Functions
المؤلفون المشاركون
Almanjahie, Ibrahim M.
Ahmad, Ishfaq
Haq, Ehtasham-ul
Hussain, Abid
المصدر
Computational Intelligence and Neuroscience
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-14، 14ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-12-05
دولة النشر
مصر
عدد الصفحات
14
التخصصات الرئيسية
الملخص EN
Genetic algorithms (GAs) are stochastic-based heuristic search techniques that incorporate three primary operators: selection, crossover, and mutation.
These operators are supportive in obtaining the optimal solution for constrained optimization problems.
Each operator has its own benefits, but selection of chromosomes is one of the most essential operators for optimal performance of the algorithms.
In this paper, an improved genetic algorithm-based novel selection scheme, i.e., stairwise selection (SWS) is presented to handle the problems of exploration (population diversity) and exploitation (selection pressure).
For its global performance, we compared with several other selection schemes by using ten well-known benchmark functions under various dimensions.
For a close comparison, we also examined the significance of SWS based on the statistical results.
Chi-square goodness of fit test is also used to evaluate the overall performance of the selection process, i.e., mean difference between observed and expected number of offspring.
Hence, the overall empirical results along with graphical representation endorse that the SWS outperformed in terms of robustness, stability, and effectiveness other competitors through authentication of performance index (PI).
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Haq, Ehtasham-ul& Ahmad, Ishfaq& Hussain, Abid& Almanjahie, Ibrahim M.. 2019. A Novel Selection Approach for Genetic Algorithms for Global Optimization of Multimodal Continuous Functions. Computational Intelligence and Neuroscience،Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1129635
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Haq, Ehtasham-ul…[et al.]. A Novel Selection Approach for Genetic Algorithms for Global Optimization of Multimodal Continuous Functions. Computational Intelligence and Neuroscience No. 2019 (2019), pp.1-14.
https://search.emarefa.net/detail/BIM-1129635
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Haq, Ehtasham-ul& Ahmad, Ishfaq& Hussain, Abid& Almanjahie, Ibrahim M.. A Novel Selection Approach for Genetic Algorithms for Global Optimization of Multimodal Continuous Functions. Computational Intelligence and Neuroscience. 2019. Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1129635
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1129635
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر