Optimization of Geometry, Processes, Signals and Systems in Real World Engineering Problems by Cuckoo Search - A Survey of Recent Literature

International Journal of Computer Trends and Technology (IJCTT)          
© 2016 by IJCTT Journal
Volume-38 Number-1
Year of Publication : 2016
Authors : Biswajit Saha, Shalini Mahato, Debaprasad Mukherjee
DOI :  10.14445/22312803/IJCTT-V38P107


Biswajit Saha, Shalini Mahato, Debaprasad Mukherjee "Optimization of Geometry, Processes, Signals and Systems in Real World Engineering Problems by Cuckoo Search - A Survey of Recent Literature". International Journal of Computer Trends and Technology (IJCTT) V38(1):29-37, August 2016. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
Cuckoo Search (CS) algorithm is a metaheuristic optimization algorithm developed by Xing-she Yang and Suash Deb in 2009. This paper explores the various research work done in application of Cuckoo Search algorithm in optimization of geometry, processes, signals and systems in real world engineering problems. Various researchers have applied Cuckoo Search algorithm in the following broad domains of computational geometry and structural optimization, scheduling and parameter optimization problems in manufacturing processes, operating point optimization for photovoltaic cells, electrical material structures and controllers, distributed resource allocation and scheduling optimization for power systems and also in signal and pattern optimization and obtained results that are of great utility. This algorithm has been found to be highly efficient, robust and precise.

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Cuckoo Search, optimization, metaheuristic, Lévy flight, engineering problem, structural optimization, manufacturing process.