Recently, intelligent methods, including fuzzy logic, neural networks, evolutionary computation, swarm intelligence, and ant colony, play an important role in the development of smart antenna technology, which brings together additional interdisciplinary research skills in the development of innovative antijam devices, biosensor array, ultrasonics, optics, communications, and multiple signal reception processor for modern phased array applications. One of the main advantages of using phased array processing along with an array of sensors is a smaller footprint. The problems associated with array processing include the number of sources used, their direction of arrivals, and their signal waveforms. Generally, satisfactory results can be obtained by employing conventional intelligent algorithms on smart antenna array applications. However, smart antenna array technologies demand to be more robust, have more precision, be costly, and be more efficient computation complexity. Recent research illustrates that hybrid intelligent methods which are integrated with some standard ones can help achieve a better performance for particular phased arrays applications. It was indicated that hybrid intelligent processing can generally bring a more convincing solution for a particular micro/nanoelectronics array application. This special issue intends to bring together researchers to highlight the innovative results or progress in the development of hybrid intelligent processing for modern phased array technologies. Potential topics include, but are not limited to:

• Phased array modeling and simulation
• Reconfigurable phased array design and simulation
• Antenna array pattern synthesis
• Robust beamforming algorithm
• Biosensors array
• Micro/nanoelectronics array
• Phased array communications
• Phased array optics
• Phased array ultrasonics
• Neuro-fuzzy system
• Swarm intelligence
• Artificial immune systems
• Other hybrid intelligent algorithms

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