Constrained Optimization of Linear Antenna Arrays using Novel Social Group Optimization Algorithm
Jyothi Budida1, Sanjai Kumar Mortha2, Sreerama Lakshmi Narayana3

1Jyothi Budida, Assistant Professor, Department of Physics, Aditya College of Engineering, Surampalem (A.P), India.
2Sanjai Kumar Mortha, Assistant Professor, Department of Physics, Aditya Engineering College, Surampalem (A.P), India.
3Sreerama Lakshmi Narayana, Retired Professor, Department of Nuclear Physics, Andhra University, Visakhapatnam (A.P), India.
Manuscript received on 05 February 2019 | Revised Manuscript received on 13 February 2019 | Manuscript published on 28 February 2019 | PP: 52-56 | Volume-8 Issue-4, February 2019 | Retrieval Number: D2620028419/19©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (

Abstract: Antenna array optimization is a major research problem in the field of electromagnetic and antenna engineering. The optimization typically involves in handling several radiation parameters like Sidelobe level (SL) and beamwidth (BW). In this paper, the linear antenna array (LAA) configuration is considered with symmetrical distribution of excitation and special distribution. The objective of the design problem considered involves in generating optimized patterns in terms of SLL and BW and check the robustness of the social group optimization algorithm (SGOA). The analysis of the design problem is carried out in terms of radiation pattern plots. The simulation is carried out in Matlab.
Keyword: Antenna Array, Optimization, SGOA.
Scope of the Article: Big Data Analytics for Social Networking using IoT