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Multi-Objective Design Of Antennas Using Surrogate Models [Hardcover]

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  • Category: Books (Computers)
  • Author:  Slawomir Koziel, Adrian Bekasiewicz
  • Author:  Slawomir Koziel, Adrian Bekasiewicz
  • ISBN-10:  1786341476
  • ISBN-10:  1786341476
  • ISBN-13:  9781786341471
  • ISBN-13:  9781786341471
  • Publisher:  World Scientific (Europe)
  • Publisher:  World Scientific (Europe)
  • Pages:  280
  • Pages:  280
  • Binding:  Hardcover
  • Binding:  Hardcover
  • Pub Date:  01-Jun-2016
  • Pub Date:  01-Jun-2016
  • SKU:  1786341476-11-MPOD
  • SKU:  1786341476-11-MPOD
  • Item ID: 100837588
  • Seller: ShopSpell
  • Ships in: 2 business days
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  • Delivery by: Dec 26 to Dec 28
  • Notes: Brand New Book. Order Now.
This book addresses computationally-efficient multi-objective optimization of antenna structures using variable-fidelity electromagnetic simulations, surrogate modeling techniques, and design space reduction methods. Based on contemporary research, it formulates multi-objective design tasks, highlights related challenges in the context of antenna design, and discusses solution approaches. Specific focus is on providing methodologies for handling computationally expensive simulation models of antenna structures in the sense of their multi-objective optimization. Also given is a summary of recent developments in antenna design optimization using variable-fidelity simulation models. Numerous examples of real-world antenna design problems are provided along with discussions and recommendations for the readers interested in applying the considered methods in their design work.

Written with researchers and students in mind, topics covered can also be applied across a broad spectrum of aeronautical, mechanical, electrical, biomedical and civil engineering. It is of particular interest to those dealing with optimization, computationally expensive design tasks and simulation-driven design.

Readership: Researchers and students of aeronautical, mechanical, electrical, biomedical and civil engineering; those dealing with optimization, computationally expensive design tasks and simulation-driven design.

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