Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/53062
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dc.contributor.authorA Kamal Prakash
dc.date.accessioned2013-05-29T08:45:59Z
dc.date.available2013-05-29T08:45:59Z
dc.date.copyright2013en_US
dc.date.issued2013
dc.identifier.urihttp://hdl.handle.net/10356/53062
dc.description.abstractABC algorithm or also called Artificial Bee Colony Algorithm is one of the popular algorithms of using the intelligence of swarm bees. The ABC algorithm mimics foraging and dance behaviours of real bee colonies. It has high performance and success for numerical optimization problems. Although the exploration of solution of ABC algorithm is good, exploitation to found food sources is very bad. In this report the student analyses the ABC algorithm in detail, discusses the advantages and disadvantages of the ABC algorithm compared to other programs and the ABC algorithm implemented in Matlab programming to solve real parameter optimization problems. The results and graphs are discussed and future recommendations are also advised on the project.en_US
dc.format.extent45 p.en_US
dc.language.isoenen_US
dc.rightsNanyang Technological University
dc.subjectDRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineeringen_US
dc.titleArtificial Bee Colony (ABC) algorithmen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorPonnuthurai Nagaratnam Suganthanen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeBachelor of Engineeringen_US
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Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)
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