dc.contributor.authorNguyen, Quang Huy.en_US
dc.date.accessioned2011-12-27T08:24:25Z
dc.date.accessioned2017-07-23T08:29:22Z
dc.date.available2011-12-27T08:24:25Z
dc.date.available2017-07-23T08:29:22Z
dc.date.copyright2010en_US
dc.date.issued2010
dc.identifier.citationNguyen, Q. H. (2010). Adaptive and formal memetic frameworks. Doctoral thesis, Nanyang Technological University, Singapore.
dc.identifier.urihttp://hdl.handle.net/10356/47468
dc.description193 p.en_US
dc.description.abstractOver the recent years, there has been increasing research activities made on improving the efficacy of Memetic Algorithm (MA) for solving complex optimization problems. Particu-larly, these efforts have revealed the success of MA on a wide range of real world problems. MAs not only converge to high quality solutions, but also search more efficiently than their conventional counterparts. Despite the success and surge in interests on MAs, only restricted theoretical knowledge is available in the field of MA and limited progress has been made on formal memetic frameworks.en_US
dc.rightsNanyang Technological Universityen_US
dc.subjectDRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciencesen_US
dc.titleAdaptive and formal memetic frameworks.en_US
dc.typeThesisen_US
dc.contributor.schoolSchool of Computer Engineeringen_US
dc.contributor.supervisorOng Yew Soonen_US
dc.description.degreeDOCTOR OF PHILOSOPHY (SCE)en_US
dc.identifier.doihttps://doi.org/10.32657/10356/47468


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