Self-Adaptive Differential Evolution Algorithms for Wireless Communications and the Antenna and Microwave Design Problems

Self-Adaptive Differential Evolution Algorithms for Wireless Communications and the Antenna and Microwave Design Problems

Sotirios K. Goudos (Department of Physics, Aristotle University of Thessaloniki, Greece)
Copyright: © 2015 |Pages: 13
DOI: 10.4018/978-1-4666-5888-2.ch568
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Background

Differential evolution was introduced proposed by KennethV. Price and R. Storn in 1995. It uses real operators for mutation and crossover, instead of the binary operators used in the first GAs. That fact has made DE suitable for solving real-valued problems. DE is a very simple but very powerful stochastic global optimizer. It has been used to solve problems in many scientific and engineering fields and proved to be a very efficient and robust technique for global optimization. In 1997, Storn established a website (Rainer Storn) to where DE source code is publically available for several popular programming languages. Since then there is an explosive growth in differential evolution research.

Key Terms in this Chapter

WiMAX: A wireless communications standard designed to provide 30 to 40 megabit-per-second data rates.

Genetic Algorithms: A stochastic population-based global optimization technique that mimics the process of natural evolution.

Sidelobe Level (SLL): The ratio, usually expressed in decibels (dB), of the amplitude at the peak of the main lobe to the amplitude at the peak of a side lobe.

Wireless Local Area Network (WLAN): A network in which a mobile user can connect to a local area network (LAN) through a wireless (radio) connection.

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