Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/24321
Title: A Survey of Bio Inspired Optimization Algorithms for Optimal Design of Power Devices
Authors: Cvetkovski, Goga
Keywords: Optimization algorithms, power devices, genetic algorithm, particle swarm optimization, cuckoo search
Issue Date: 27-Feb-2019
Publisher: Unviersity of Maribor Press
Conference: 7th Symposium on Applied Electromagnetics SAEM`18: Conference Proceedings
Abstract: Nature is of course a great and immense source of inspiration for solving hard and complex problems in computer science since it exhibits extremely diverse, dynamic, robust, complex and fascinating phenomenon. It always finds the optimal solution to solve its problem maintaining perfect balance among its components. This is the thrust behind bio inspired computing. Nature inspired algorithms are meta heuristics that mimics the nature for solving optimization problems opening a new era in computation. For the past decades, numerous research efforts have been concentrated in this particular area. Still being young and the results being very amazing, broadens the scope and viability of Bio Inspired Algorithms (BIAs) exploring new areas of application and more opportunities in computing. This paper presents the mechanism of performance of several bio-based optimization methods and also presents the results of their optimal design action performed on several power devices.
URI: http://hdl.handle.net/20.500.12188/24321
DOI: 10.18690/978-961-286-241-1.2
Appears in Collections:Faculty of Electrical Engineering and Information Technologies: Conference Papers

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