Optimum Design and Performance Analysis of Dipole Planar Array Antenna with Mutual Coupling Using Cuckoo Search Algorithm

2014 ◽  
pp. 235-245 ◽  
Author(s):  
Hrudananda Pradhan ◽  
Biswa Binayak Mangaraj ◽  
Iti Saha Misra
Keyword(s):  
Performance Analysis ◽  
Optimum Design ◽  
Mutual Coupling ◽  
Search Algorithm ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Array Antenna ◽  
Planar Array ◽  
And Performance

scholarly journals Cuckoo search algorithm for applied structural and design optimization: Float system for experimental setups

2018 ◽  
Vol 6 (2) ◽  
pp. 159-172 ◽  
Author(s):  
Mostafa Jalal ◽  
Maral Goharzay
Keyword(s):  
Constrained Optimization ◽  
Design Optimization ◽  
Structural Design ◽  
Search Algorithm ◽  
Optimization Algorithms ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Structural Constraints ◽  
Generalized Reduced Gradient ◽  
And Performance

Abstract In the present study, Cuckoo Search (CS) as a nature-inspired optimization algorithm was applied for structural and design optimization of a new float system for experimental setups. For this purpose, based on the setup configuration, it was tried to minimize the total length of the float, while maintaining the structural and performance-based constraints. Different geometries for the float structure were examined to come up with the feasible options. The problem was formulated into a constrained optimization in terms of four or five variables, depending on the geometry, along with two performance-based constraints and some structural constraints. CS was used to solve the constrained optimization problem and the convergence trends of the parameters to optimal solutions were examined in details. Generalized reduced gradient (GRG) method known as GRG nonlinear was also used for validation and comparison purpose. The results of the optimization and the performance of the float produced showed that CS can be used as a powerful tool for applied structural and design problems. It should be mentioned that the float problem can be used as a benchmark structural design problem for validation of new optimization algorithms. Besides, the optimal float can be produced for various experimental setups with different structures and constraints, depending on the application. Highlights Cuckoo Search (CS) algorithm as a metaheuristic approach. Constrained optimization in structural design using CS algorithm. Designing a new float for experimental setups. Production of an optimal float for measurement system. Float design as a benchmark problem for optimization algorithms.

scholarly journals FAILURE CORRECTION OF LINEAR ARRAY ANTENNA WITH MULTIPLE NULL PLACEMENT USING CUCKOO SEARCH ALGORITHM

2014 ◽  
Vol 05 (01) ◽  
pp. 877-881 ◽  
Author(s):  
Muralidaran R. ◽  
◽  
Vallavaraj A ◽  
Hemant Patidar ◽  
Mahanti G.K. ◽  
...  
Keyword(s):  
Linear Array ◽  
Search Algorithm ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Array Antenna ◽  
Null Placement

Materialized View Selection for Query Performance Enhancement Using Stochastic Ranking Based Cuckoo Search Algorithm

2019 ◽  
Vol 27 (03) ◽  
pp. 2050008
Author(s):  
Anjana Gosain ◽  
Kavita Sachdeva
Keyword(s):  
Query Processing ◽  
Search Algorithm ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Materialized Views ◽  
Processing Efficiency ◽  
View Selection ◽  
Materialized View ◽  
Materialized View Selection ◽  
And Performance

Materialized view selection (MVS) improves the query processing efficiency and performance for making decisions effectively in a data warehouse. This problem is NP-hard and constrained optimization problem which involves space and cost constraint. Various optimization algorithms have been proposed in literature for optimal selection of materialized views. Few works exist for handling the constraints in MVS. In this study, authors have proposed the Cuckoo Search Algorithm (CSA) for optimization and Stochastic Ranking (SR) for handling the constraints in solving the MVS problem. The motivation behind integrating CS with SR is that fewer parameters have to be fine tuned in CS algorithm than in genetic and Particle Swarm Optimization (PSO) algorithm and the ranking method of SR handles the constraints effectively. For proving the efficiency and performance of our proposed algorithm Stochastic Ranking based Cuckoo Search Algorithm for Materialized View Selection (SRCSAMVS), it has been compared with PSO, genetic algorithm and the constrained evolutionary optimization algorithm proposed by Yu et al. SRCSAMVS outperforms in terms of query processing cost and scalability of the problem.

scholarly journals Diagnosis of Faulty Elements in Array Antenna using Nature Inspired Cuckoo Search Algorithm

2018 ◽  
Vol 8 (3) ◽  
pp. 1870 ◽  
Author(s):  
Shafqat Ullah Khan ◽  
M. K. A. Rahim ◽  
Murtala Aminu-Baba ◽  
Atif Ellahi Khan Khalil ◽  
Sardar Ali
Keyword(s):  
Mobile Communications ◽  
Linear Array ◽  
Search Algorithm ◽  
Fitness Function ◽  
Optimization Technique ◽  
Cuckoo Search ◽  
Correction Method ◽  
Cuckoo Search Algorithm ◽  
Array Antenna ◽  
Single Element

Detection and correction of faulty elements in a linear array have great importance in radar, sonar, mobile communications and satellite. Due to single element failure, the whole radiation pattern damage in terms of side lobes level and nulls. Once we have detect the position of defective element, then correction method is applied to achieve the desired pattern. In this work, we introduce a nature inspired meta-heuristic cuckoo search algorithm to diagnose the position of defective elements in a linear array. The nature inspired cuckoo search algorithm is new to the optimization family and is used first time for fault detection in an array antenna. Cuckoo search algorithm is a global search optimization technique. The cost function is used as a fitness function which defines an error between the degraded far field power pattern and the estimated one. The proposed technique is used effectively for the diagnosis of complete, as well as, for partial faulty elements position. Different simulation results are evaluated for 40 elements Taylor pattern to validate and check the performance of the proposed technique.

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