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Effect of Population Structures on Quantum-Inspired Evolutionary Algorithm
المؤلفون المشاركون
Mani, Ashish
Mani, Nija
Srivastava, Gursaran
Mani, Ashish
المصدر
Applied Computational Intelligence and Soft Computing
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-22، 22ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-12-24
دولة النشر
مصر
عدد الصفحات
22
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
Quantum-inspired evolutionary algorithm (QEA) has been designed by integrating some quantum mechanical principles in the framework of evolutionary algorithms.
They have been successfully employed as a computational technique in solving difficult optimization problems.
It is well known that QEAs provide better balance between exploration and exploitation as compared to the conventional evolutionary algorithms.
The population in QEA is evolved by variation operators, which move the Q-bit towards an attractor.
A modification for improving the performance of QEA was proposed by changing the selection of attractors, namely, versatile QEA.
The improvement attained by versatile QEA over QEA indicates the impact of population structure on the performance of QEA and motivates further investigation into employing fine-grained model.
The QEA with fine-grained population model (FQEA) is similar to QEA with the exception that every individual is located in a unique position on a two-dimensional toroidal grid and has four neighbors amongst which it selects its attractor.
Further, FQEA does not use migrations, which is employed by QEAs.
This paper empirically investigates the effect of the three different population structures on the performance of QEA by solving well-known discrete benchmark optimization problems.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Mani, Nija& Srivastava, Gursaran& Mani, Ashish& Mani, Ashish. 2014. Effect of Population Structures on Quantum-Inspired Evolutionary Algorithm. Applied Computational Intelligence and Soft Computing،Vol. 2014, no. 2014, pp.1-22.
https://search.emarefa.net/detail/BIM-1034171
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Mani, Nija…[et al.]. Effect of Population Structures on Quantum-Inspired Evolutionary Algorithm. Applied Computational Intelligence and Soft Computing No. 2014 (2014), pp.1-22.
https://search.emarefa.net/detail/BIM-1034171
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Mani, Nija& Srivastava, Gursaran& Mani, Ashish& Mani, Ashish. Effect of Population Structures on Quantum-Inspired Evolutionary Algorithm. Applied Computational Intelligence and Soft Computing. 2014. Vol. 2014, no. 2014, pp.1-22.
https://search.emarefa.net/detail/BIM-1034171
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1034171
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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