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Evaluation of Firefly Algorithm Using Benchmark Functions

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dc.description.abstract The field of nature inspired computing and optimization techniques have evolved to solve the difficult optimization problems in diverse fields of engineering, science and technology. The Firefly algorithm is one of the several nature inspired algorithms that have been developed in the recent past and is inspired from the flashing behavior of the fireflies. The flashing behavior of the fireflies is to attract other fireflies in the group for mating. The less bright firefly will be attracted by the brighter one. As all the fireflies are assumed to be unisexual, each firefly is attracted to the other. This process is mimicked in the algorithm to find the solution to objective function. In this paper, we evaluate the algorithm using few multi-dimensional benchmark functions. The results of the simulation are satisfactory showing the algorithm to have good performance abilities. en_US
dc.title Evaluation of Firefly Algorithm Using Benchmark Functions en_US
dc.date.accessioned 2013-10-04T14:43:01Z
dc.date.available 2013-10-04T14:43:01Z
dc.date.issued 2013-10-04
dc.identifier.uri http://hdl.handle.net/10365/23076
dc.thesis.degree Paper (M.S.)-- North Dakota State University, 2013. en_US
dc.contributor.advisor Ludwig, Simone
dc.subject.lcsh Heuristic algorithms -- Evaluation. en_US
dc.subject.lcsh Mathematical optimization. en_US
dc.subject.lcsh Swarm intelligence. en_US
dc.creator.author Kundur, Anuroop
dc.degree.departmentCollege Master of Science / Computer Science, College of Science and Mathematics, 2013.
dc.date.created 2013

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