Optimal design of fractional delay FIR filter using cuckoo search algorithm

2018 ◽  
Vol 46 (12) ◽  
pp. 2364-2379 ◽  
Author(s):  
Manjeet Kumar
Keyword(s):  
Optimal Design ◽  
Search Algorithm ◽  
Cuckoo Search ◽  
Fir Filter ◽  
Cuckoo Search Algorithm ◽  
Fractional Delay

Optimized Rod Size Design of Denim Fabric Grinding Robot Based on Improved Cuckoo Search Algorithm

2021 ◽  
Vol 14 ◽  
Author(s):  
Wenjie Wang ◽  
Congcong Chen ◽  
Yuting Cao ◽  
Jian Xu ◽  
Xiaohua Wang
Keyword(s):  
Optimal Design ◽  
Optimization Design ◽  
Search Algorithm ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Convergence Speed ◽  
Motion Performance ◽  
Improved Cuckoo Search Algorithm ◽  
Solution Accuracy ◽  
Cuckoo Algorithm

Background: Dexterity is an important index for evaluating the motion performance of a robot. The size of the robot connecting rods directly affects the performance of flexibility. Objective: The purpose of this study is to provide an overview of optimal design methods from many pieces of literature and patents, and propose a new optimal design method for ensuring the robot completes its tasks flexibly and efficiently under workspace constraints. Methods: The kinematics and working space of the robot are analyzed to determine the range of motion of each joint. Then, a dexterity index is established based on the mean value of the global spatial condition number. Finally, an improved cuckoo algorithm is proposed, which changes the step size control factor with the number of iterations. Taking the dexterity index as the objective optimization function and the working radius as the constraint condition, the improved cuckoo search algorithm is used to optimize the size of the robot rod. Results: The improved cuckoo algorithm and proposed rod size optimized method are fully evaluated by experiments and comparative studies. The optimization design process shows that the proposed method has better solution accuracy and faster convergence speed. The optimized design results show that the robot's dexterity index has increased by 26.1%. Conclusion: The proposed method has better solution accuracy and faster convergence speed. The method was suitable for optimizing the rod parameters of the robot, and it was very meaningful to improve the motion performance of the robot.

Optimal design of FIR fractional order differentiator using cuckoo search algorithm

2015 ◽  
Vol 42 (7) ◽  
pp. 3433-3449 ◽  
Author(s):  
Manjeet Kumar ◽  
Tarun Kumar Rawat
Keyword(s):  
Optimal Design ◽  
Fractional Order ◽  
Search Algorithm ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Fractional Order Differentiator

Optimal design of 2-D FIR digital differentiator using $$L_1$$ L 1 -norm based cuckoo-search algorithm

2016 ◽  
Vol 28 (4) ◽  
pp. 1569-1587 ◽  
Author(s):  
Apoorva Aggarwal ◽  
Manjeet Kumar ◽  
Tarun K. Rawat ◽  
D. K. Upadhyay
Keyword(s):  
Optimal Design ◽  
Search Algorithm ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Digital Differentiator ◽  
Fir Digital Differentiator

Optimal design of a solar-hybrid cogeneration cycle using Cuckoo Search algorithm

2016 ◽  
Vol 102 ◽  
pp. 1300-1313 ◽  
Author(s):  
M.H. Khoshgoftar Manesh ◽  
M. Ameryan
Keyword(s):  
Optimal Design ◽  
Search Algorithm ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Cogeneration Cycle

Hardware efficient FIR filter design using Global Best Steered Quantum Inspired Cuckoo Search Algorithm

2018 ◽  
Vol 71 ◽  
pp. 1-19 ◽  
Author(s):  
Poulami Das ◽  
Sudip Kumar Naskar ◽  
Sankar Narayan Patra
Keyword(s):  
Filter Design ◽  
Search Algorithm ◽  
Cuckoo Search ◽  
Fir Filter ◽  
Cuckoo Search Algorithm ◽  
Fir Filter Design

Self-Adaptive Cuckoo Search Algorithm for Optimal Design of Water Distribution Systems

2020 ◽  
Vol 34 (10) ◽  
pp. 3129-3146
Author(s):  
B. Sriman Pankaj ◽  
M. Naveen Naidu ◽  
A. Vasan ◽  
Murari RR Varma
Keyword(s):  
Optimal Design ◽  
Distribution Systems ◽  
Water Distribution ◽  
Search Algorithm ◽  
Water Distribution Systems ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Self Adaptive

Seismic optimal design of 3D steel frames using cuckoo search algorithm

2014 ◽  
Vol 24 (3) ◽  
pp. 210-227 ◽  
Author(s):  
A. Kaveh ◽  
T. Bakhshpoori ◽  
M. Azimi
Keyword(s):  
Optimal Design ◽  
Search Algorithm ◽  
Steel Frames ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm
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