LINEAR ARRAY SYNTHESIS USING BIOGEOGRAPHY BASED OPTIMIZATION
By Urvinder Singh, H. Kumar, T. S. Kamal. 2010
79 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/b03aa0b6e5a4d2aaa5442501bd7667f814ad0665
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
- Dawei Du
- D. Simon
- Mehmet Ergezer
- Anthony Ngozichukwuka Uwaechia
- Nor Muzlifah Mahyuddin
- Arvind Choubey
- Santosh Kumar Mahto
In Electrical and Electronic Engineering
- Dawei Du
- D. Simon
- Mehmet Ergezer
- Anthony Ngozichukwuka Uwaechia
- Nor Muzlifah Mahyuddin
- Arvind Choubey
- Santosh Kumar Mahto
Citations in the corpus
- A Comprehensive Survey on Millimeter Wave Communications for Fifth-Generation Wireless Networks: Feasibility and Challenges (2020, methodology): “These works [144]–[146] employ the particle swarm optimization, ant colony optimization, and biogeography-based optimization, respectively, for maximum sidelobe level reduction and null placement.”
- Oppositional biogeography-based optimization (2009, methodology): “It has been applied to the power flow problem [106, 107, 108, 109], economic dispatch [110, 111, 112], image classification [113, 114, 115], communications [116, 117, 118] and robotics [119, 120, 121].”
- A Novel Hybrid IWO/WDO Algorithm for Interference Minimization of Uniformly Excited Linear Sparse Array by Position-Only Control (2016, background): “93 dB in IWO, WDO, PSO [2], and BBO [6], respectively, and the NDL at 99 is 108.”