Several evolutionary algorithms (EAs) have emerged in the past decades that mimic biological entities behavior and evolution. EAs are widely used for the solution of single and multiobjective optimization engineering problems. The EAs have also been applied to a variety of microwave component, antenna design, radar design, and wireless communications problems. These techniques 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 chemistry-based have emerged. The use of the above algorithms has an increasing impact on antenna design and propagation problems. EAs combined in several occasions with numerical methods in electromagnetics have obtained significant and successful results. Additionally, hybrid combinations of EAs are also emerging.

We invite researchers to contribute original papers describing the applications and the emerging trends of EAs to antenna and propagation problems.

Potential topics include, but are not limited to:

• Genetic Algorithms (GAs)
• Evolution Strategies (ES)
• Evolutionary Programming (EP)
• Particle Swarm Optimization (PSO)
• Differential evolution (DE)
• Ant Colony Optimization (ACO)
• Multiobjective optimization (MO)
• Other innovative algorithms