Adaptive broadband frequency invariant beamforming using nulling-broadening and frequency constraints

2022 ◽  
pp. 108461
Author(s):  
Shurui Zhang ◽  
Qiong Gu ◽  
Hui Sun ◽  
Weixing Sheng ◽  
Thia Kirubarajan
Keyword(s):  
Frequency Constraints ◽  
Broadband Frequency

Optimum design and validation of flat composite beams dubject to frequency constraints

AIAA Journal ◽  
1997 ◽  
Vol 35 ◽  
pp. 540-545
Author(s):  
J. M. Taylor ◽  
R. Butler
Keyword(s):  
Optimum Design ◽  
Composite Beams ◽  
Frequency Constraints

scholarly journals Triangle and concave pentagon electrodes for an improved broadband frequency response of stripline beam position monitors

2016 ◽  
Vol 19 (2) ◽  
Author(s):  
Yoshihiro Shobuda ◽  
Yong Ho Chin ◽  
Koji Takata ◽  
Takeshi Toyama ◽  
Keigo Nakamura
Keyword(s):  
Frequency Response ◽  
Beam Position ◽  
Broadband Frequency ◽  
Beam Position Monitors

An enhanced symbiotic organisms search algorithm for design optimization of trusses with frequency constraints

2021 ◽  
pp. 136943322110262
Author(s):  
Mohammad H Makiabadi ◽  
Mahmoud R Maheri
Keyword(s):  
Standard Deviation ◽  
Optimization Problems ◽  
Search Algorithm ◽  
Metaheuristic Algorithms ◽  
Minimum Mass ◽  
Multiple Frequency ◽  
Frequency Constraints ◽  
Symbiotic Organisms Search ◽  
Symbiotic Organisms ◽  
Dynamic Frequency

An enhanced symbiotic organisms search (ESOS) algorithm is developed and presented. Modifications to the basic symbiotic organisms search algorithm are carried out in all three phases of the algorithm with the aim of balancing the exploitation and exploration capabilities of the algorithm. To verify validity and capability of the ESOS algorithm in solving general optimization problems, the CEC2014 set of 22 benchmark functions is first optimized and the results are compared with other metaheuristic algorithms. The ESOS algorithm is then used to optimize the sizing and shape of five benchmark trusses with multiple frequency constraints. The best (minimum) mass, mean mass, standard deviation of the mass, total number of function evaluations, and the values of frequency constraints are then compared with those of a number of other metaheuristic solutions available in the literature. It is shown that the proposed ESOS algorithm is generally more efficient in optimizing the shape and sizing of trusses with dynamic frequency constraints compared to other reported metaheuristic algorithms, including the basic symbiotic organisms search and its other recently proposed improved variants such as the improved symbiotic organisms search algorithm (ISOS) and modified symbiotic organisms search algorithm (MSOS).

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