International Journal of Antennas and Propagation

Evolutionary Algorithms Applied to Antennas and Propagation: Emerging Trends and Applications


Publishing date
23 Sep 2016
Status
Published
Submission deadline
06 May 2016

1Aristotle University of Thessaloniki, Thessaloniki, Greece

2South Dakota School of Mines and Technology, Rapid City, USA

3Centre Tecnològic de Telecomunicacions de Catalunya (CTTC), Barcelona, Spain

4Universiti Teknologi PETRONAS, Tronoh, Malaysia

5Frederick University, Nicosia, Cyprus


Evolutionary Algorithms Applied to Antennas and Propagation: Emerging Trends and Applications

Description

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

Articles

  • Special Issue
  • - Volume 2016
  • - Article ID 5279647
  • - Editorial

Evolutionary Algorithms Applied to Antennas and Propagation: Emerging Trends and Applications

Sotirios K. Goudos | Dimitris E. Anagnostou | ... | Symeon Nikolaou
  • Special Issue
  • - Volume 2016
  • - Article ID 5359298
  • - Research Article

Design of Large Thinned Arrays Using Different Biogeography-Based Optimization Migration Models

Sotirios K. Goudos | John N. Sahalos
  • Special Issue
  • - Volume 2016
  • - Article ID 2621862
  • - Research Article

Design of UAVs-Based 3D Antenna Arrays for a Maximum Performance in Terms of Directivity and SLL

Jesus Garza | Marco A. Panduro | ... | Carlos del Rio
  • Special Issue
  • - Volume 2016
  • - Article ID 7024704
  • - Research Article

Optimization of a Conical Corrugated Antenna Using Multiobjective Heuristics for Radio-Astronomy Applications

S. López-Ruiz | R. Sánchez Montero | ... | J. A. López-Fernandez
  • Special Issue
  • - Volume 2016
  • - Article ID 7521723
  • - Research Article

Thinning and Weighting of Planar/Conformal Arrays Considering Mutual Coupling Effects

You-Feng Cheng | Wei Shao | ... | Meng-Xia Yu
  • Special Issue
  • - Volume 2016
  • - Article ID 1010459
  • - Review Article

Evolutionary Algorithms Applied to Antennas and Propagation: A Review of State of the Art

Sotirios K. Goudos | Christos Kalialakis | Raj Mittra
  • Special Issue
  • - Volume 2016
  • - Article ID 7087298
  • - Research Article

Iterative GA Optimization Scheme for Synthesis of Radiation Pattern of Linear Array Antenna

Sarayoot Todnatee | Chuwong Phongcharoenpanich
  • Special Issue
  • - Volume 2016
  • - Article ID 3156702
  • - Research Article

Evolutionary Algorithm Geometry Optimization of Optical Antennas

Ramón Díaz de León-Zapata | Gabriel González | ... | Francisco Javier González
  • Special Issue
  • - Volume 2016
  • - Article ID 1956047
  • - Research Article

Location Optimization for Square Array Antennas Using Differential Evolution Algorithm

Erkan Afacan
  • Special Issue
  • - Volume 2016
  • - Article ID 2749035
  • - Research Article

Investigation on the Inversion of the Atmospheric Duct Using the Artificial Bee Colony Algorithm Based on Opposition-Based Learning

Chao Yang | Jian-Ke Zhang | Li-Xin Guo
International Journal of Antennas and Propagation
 Journal metrics
Acceptance rate35%
Submission to final decision73 days
Acceptance to publication28 days
CiteScore1.190
Impact Factor1.347
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