Unlocking the Potential of Antenna Design: Multi Objective Optimization with Surrogate Models

In the realm of wireless communications, antennas play a pivotal role in transmitting and receiving signals. Designing antennas that meet multiple performance objectives simultaneously, such as high gain, bandwidth, and efficiency, is a complex and time-consuming task. Traditional antenna design approaches often rely on iterative simulations and manual parameter tuning, which can be inefficient and prone to suboptimal solutions.

Multi-objective Design Of Antennas Using Surrogate Models

5 out of 5

Language	:	English
Paperback	:	186 pages
Item Weight	:	10.4 ounces
Dimensions	:	6.14 x 0.4 x 9.21 inches
File size	:	20584 KB
Text-to-Speech	:	Enabled
Screen Reader	:	Supported
Enhanced typesetting	:	Enabled
Print length	:	360 pages

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The Power of Surrogate Models

To overcome these challenges, the book "Multi Objective Design of Antennas Using Surrogate Models" introduces a novel approach that harnesses the power of surrogate models. Surrogate models are mathematical representations of complex computer simulations that can provide accurate approximations of antenna performance while significantly reducing computational cost. By leveraging surrogate models, antenna designers can explore a vast design space efficiently and identify optimal solutions that meet multiple objectives.

Key Benefits of Using Surrogate Models for Antenna Design

• Reduced Simulation Time: Surrogate models drastically reduce the computational time required for antenna simulations, enabling designers to evaluate thousands of designs in a matter of hours or days.
• Improved Accuracy: Advanced surrogate modeling techniques, such as Gaussian process regression and artificial neural networks, provide highly accurate approximations of antenna performance, ensuring reliable design decisions.
• Multi Objective Optimization: Surrogate models make it feasible to solve complex multi objective antenna design problems, where multiple performance metrics need to be simultaneously maximized or minimized.
• Parameter Sensitivity Analysis: Surrogate models can be used to analyze the sensitivity of antenna performance to design parameters, providing insights into their impact on the overall design.

Case Studies and Applications

The book presents a comprehensive collection of case studies that demonstrate the effectiveness of the multi objective antenna design approach using surrogate models. These case studies cover a wide range of antenna applications, including ultra-wideband antennas, broadband printed antennas, and millimeter-wave antennas.

In one case study, surrogate models were employed to design a low-profile ultra-wideband antenna with enhanced gain and bandwidth. The design process involved optimizing antenna geometry and material parameters to simultaneously maximize gain and bandwidth over a wide frequency range. Surrogate models enabled the efficient exploration of a large design space and resulted in an antenna with superior performance compared to traditional design methods.

Another case study focused on the design of a broadband printed antenna for a portable wireless device. The objective was to maximize antenna efficiency and bandwidth while minimizing size and complexity. Surrogate models were used to optimize antenna dimensions and feeding structure, leading to a compact antenna with excellent performance over a wide frequency range.

"Multi Objective Design of Antennas Using Surrogate Models" is an essential resource for antenna designers in academia and industry. It provides a comprehensive overview of the latest techniques for using surrogate models to optimize antenna performance, enabling the rapid and efficient development of advanced antennas for a wide range of applications. By embracing the power of surrogate models, antenna designers can unlock new possibilities for innovation and push the boundaries of wireless communication technology.

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Graph illustrating the optimization process for multi objective antenna design using surrogate models, showing the exploration of a large design space and identification of optimal solutions.

Multi-objective Design Of Antennas Using Surrogate Models

5 out of 5

Language	:	English
Paperback	:	186 pages
Item Weight	:	10.4 ounces
Dimensions	:	6.14 x 0.4 x 9.21 inches
File size	:	20584 KB
Text-to-Speech	:	Enabled
Screen Reader	:	Supported
Enhanced typesetting	:	Enabled
Print length	:	360 pages

FREE