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Optimal design of nano antennas and microwave systems using kriging surrogate models / Ahmed Sayed Mohamed Etman ; Supervised Abdelkarim S. O. Hassan , Ezzeldin A. Soliman

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Ahmed Sayed Mohamed Etman , 2018Description: 123 P. : photographs ; 30cmOther title:
  • التصميم الأمثل للهوائيات النانومترية و نظم الميكروويف باستخدام نماذج كريكنج البديلة [Added title page title]
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Dissertation note: Thesis (Ph.D.) - Cairo University - Faculty of Engineering - Department of Mathematics and Physics Summary: In this thesis, the kriging models are used to construct surrogate models for the nano antennas and the microwave systems. The associated optimization problems treated during this work are the multi-objective optimization problem and the design centering problem. The multi-objective optimization problem is solved using multi-objective particle swarm optimization with Preference Ranking Organization METHod for Enrichment Evaluations while the design centering problem is solved using the normed distances method. Several EM-based systems are considered in this thesis. These systems include two novel reconfigurable nano antennas and microwave systems
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Item type Current library Home library Call number Copy number Status Date due Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.10.Ph.D.2018.Ah.O (Browse shelf(Opens below)) Not for loan 01010110077271000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.10.Ph.D.2018.Ah.O (Browse shelf(Opens below)) 77271.CD Not for loan 01020110077271000

Thesis (Ph.D.) - Cairo University - Faculty of Engineering - Department of Mathematics and Physics

In this thesis, the kriging models are used to construct surrogate models for the nano antennas and the microwave systems. The associated optimization problems treated during this work are the multi-objective optimization problem and the design centering problem. The multi-objective optimization problem is solved using multi-objective particle swarm optimization with Preference Ranking Organization METHod for Enrichment Evaluations while the design centering problem is solved using the normed distances method. Several EM-based systems are considered in this thesis. These systems include two novel reconfigurable nano antennas and microwave systems

Issued also as CD

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