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A Hybrid Multiobjective Differential Evolution Algorithm and Its Application to the Optimization of Grinding and Classification
المؤلفون المشاركون
Wang, Yalin
Yang, Chunhua
Xu, Honglei
Gui, Weihua
Chen, Xiaofang
Caccetta, Lou
المصدر
Journal of Applied Mathematics
العدد
المجلد 2013، العدد 2013 (31 ديسمبر/كانون الأول 2013)، ص ص. 1-15، 15ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2013-11-19
دولة النشر
مصر
عدد الصفحات
15
التخصصات الرئيسية
الملخص EN
The grinding-classification is the prerequisite process for full recovery of the nonrenewable minerals with both production quality and quantity objectives concerned.
Its natural formulation is a constrained multiobjective optimization problem of complex expression since the process is composed of one grinding machine and two classification machines.
In this paper, a hybrid differential evolution (DE) algorithm with multi-population is proposed.
Some infeasible solutions with better performance are allowed to be saved, and they participate randomly in the evolution.
In order to exploit the meaningful infeasible solutions, a functionally partitioned multi-population mechanism is designed to find an optimal solution from all possible directions.
Meanwhile, a simplex method for local search is inserted into the evolution process to enhance the searching strategy in the optimization process.
Simulation results from the test of some benchmark problems indicate that the proposed algorithm tends to converge quickly and effectively to the Pareto frontier with better distribution.
Finally, the proposed algorithm is applied to solve a multiobjective optimization model of a grinding and classification process.
Based on the technique for order performance by similarity to ideal solution (TOPSIS), the satisfactory solution is obtained by using a decision-making method for multiple attributes.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Wang, Yalin& Chen, Xiaofang& Gui, Weihua& Yang, Chunhua& Caccetta, Lou& Xu, Honglei. 2013. A Hybrid Multiobjective Differential Evolution Algorithm and Its Application to the Optimization of Grinding and Classification. Journal of Applied Mathematics،Vol. 2013, no. 2013, pp.1-15.
https://search.emarefa.net/detail/BIM-502532
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Wang, Yalin…[et al.]. A Hybrid Multiobjective Differential Evolution Algorithm and Its Application to the Optimization of Grinding and Classification. Journal of Applied Mathematics No. 2013 (2013), pp.1-15.
https://search.emarefa.net/detail/BIM-502532
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Wang, Yalin& Chen, Xiaofang& Gui, Weihua& Yang, Chunhua& Caccetta, Lou& Xu, Honglei. A Hybrid Multiobjective Differential Evolution Algorithm and Its Application to the Optimization of Grinding and Classification. Journal of Applied Mathematics. 2013. Vol. 2013, no. 2013, pp.1-15.
https://search.emarefa.net/detail/BIM-502532
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-502532
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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