The Wind Driven Optimization Technique and its Application in Electromagnetics

By Zikri Bayraktar, Muge Komurcu, J. Bossard, Douglas H. Werner. IEEE Transactions on Antennas and Propagation, 2013

300 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/7980e8ff465cdaee1b2ce4dc0bbe958c0d872994

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. Arvind Choubey
2. Santosh Kumar Mahto

In Electrical and Electronic Engineering

1. Richard Binns
2. Derick Mathew
3. C. Rani
4. Yue Wang
5. Krishna K. Busawon
6. Arvind Choubey
7. M. Rajesh Kumar
8. Santosh Kumar Mahto

Citations in the corpus

• Wind-Driven Optimization Technique for Estimation of Solar Photovoltaic Parameters (2018, methodology): “It does not require any inputs other than population size [17].”
• A sunflower optimization (SFO) algorithm applied to damage identification on laminated composite plates (2018, methodology): “However, because each algorithm possesses strengths and weaknesses, there is no single method within the family of nature-inspired numerical optimization algorithms that stands out as the best for solving all types of problems [2].”
• A Novel Hybrid IWO/WDO Algorithm for Interference Minimization of Uniformly Excited Linear Sparse Array by Position-Only Control (2016, methodology): “2439959 Optimization (PSO) [2], Comprehensive Learning Particle Swarm Optimization (CLPSO) [3], Differential Evolution (DE) [4], Bacterial Foraging Optimization (BFO) [5], Biogeography-Based Optimization (BBO) [6], Invasive Weed Optimization (IWO) [7], [13][14], Wind-Driven Optimization (WDO) [8], a”