Invasive Weed Optimization and its Features in Electromagnetics

By Shaya Karimkashi, Ahmed A. Kishk. IEEE Transactions on Antennas and Propagation, 2010

376 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/bd96e511b8bcb24e0e8e661d7d6b055d1b7cf6f6

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. Eddie Wadbro
2. Martin Berggren
3. Emadeldeen Hassan

In Electrical and Electronic Engineering

1. Kusum Deep
2. Swagatam Das
3. Eddie Wadbro
4. Martin Berggren
5. Emadeldeen Hassan

Citations in the corpus

• Topology Optimization of Metallic Antennas (2014, methodology): “Evolutionary algorithms, such as genetic algorithms and particle swarm optimization, are extensively used in the literature to optimize various electromagnetic devices [3]–[6].”
• An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges (2023, background): “(2015) 284 Invasive Weed Optimization Algorithm (IWO) Karimkashi and Kishk (2010) 285 Ions Motion Optimization (IMO) Javidy et al.”