Several evolutionary algorithms (EAs) have emerged in recent decades that mimic the behaviour and evolution of biological entities. EAs are widely used to solve single and multi-objective optimization engineering problems. EAs have also been applied to a variety of microwave components, antenna design, radar design, and wireless communications problems. These techniques, among others, include genetic algorithms (GAs), evolution strategies (ES), particle swarm optimization (PSO), differential evolution (DE), and ant colony optimization (ACO). In addition, new innovative algorithms that are not only biology-based but also physics-based or music-based are also emerging, as are hybrid combinations of EAs.

• Chapter 1: Introduction
• Chapter 2: Evolutionary algorithms
• Chapter 3: Antenna array design using EAs
• Chapter 4: Microstrip patch antenna design
• Chapter 5: Microwave structures design using EAs
• Chapter 6: Design problems in wireless communications
• Chapter 7: Design problems for 5G and beyond