Optimization of Geometry, Processes, Signals and Systems in Real World Engineering Problems by Cuckoo Search - A Survey of Recent Literature
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International Journal of Computer Trends and Technology (IJCTT) | 
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| © 2016 by IJCTT Journal | ||
| Volume-38 Number-1 |
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| 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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Keywords
Cuckoo Search, optimization,
metaheuristic, Lévy flight, engineering problem,
structural optimization, manufacturing process.