Differential Evolution (DE) is a population-based stochastic global optimization technique proposed by Storn
and Price in the middle '90s. Its major advantages are the simplicity, robustness and convergence speed. These characteristics
have made differential evolution method popular in diverse areas of science and engineering. This paper provides an
overview of state-of-the-art research related to the application of DE algorithms in microwave and communication
engineering focusing on methods and techniques in recent patent literature. A theoretical analysis and description of the
classical differential evolution algorithm and its most popular variants are also provided. A discussion of future research
directions in the area completes the study. This work fills a gap in academic literature and provides to researchers and
professional engineers useful information about patented applications of differential evolution. Moreover, it exhibits the
potential of evolutionary optimization methods in the solution of real-world problems with immediate relevance and
impact on industry.
Keywords: Antennas, coding, communications, differential evolution, digital subscriber line, evolutionary algorithms, filtering,
global optimization, magnetic imaging, microwaves, mutation, patent, positioning, radio access, radio frequency identification,
self-adaptation, wireless networks.
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