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dc.contributor.authorKanchana Daodenen_US
dc.contributor.authorTrasapong Thaiupathumpen_US
dc.date.accessioned2018-09-05T03:34:22Z-
dc.date.available2018-09-05T03:34:22Z-
dc.date.issued2017-10-19en_US
dc.identifier.other2-s2.0-85035780065en_US
dc.identifier.other10.1109/ICEIEC.2017.8076529en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85035780065&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/57051-
dc.description.abstract© 2017 IEEE. Modern industry has been applying various optimization methods in solving problems and increasing productivity. The bin packing problem is one of the well-known problems in many industries, such as, glass manufacturing industry, paper packaging industry and garment industry that commonly require optimization techniques to improve the productivity. This paper introduces the use of the shuffled frog leaping algorithm (SFLA), a meta-heuristic approach for optimization, combined with the bottom left fill algorithm (BLF) as an approach for optimizing the arrangement of the 2D shapes in limited space. The objective is to arrange the set of rectangular box items in a given 2D space as efficiently as possible in order to minimize the waste from the process. The algorithm performance in converging to the optimal solution is presented. The proposed approach could be applied to various related manufacturing problems.en_US
dc.subjectComputer Scienceen_US
dc.subjectEngineeringen_US
dc.subjectSocial Sciencesen_US
dc.titleApplying shuffled frog leaping algorithm and bottom left fill algorithm in rectangular packing problemen_US
dc.typeConference Proceedingen_US
article.title.sourcetitleProceedings of 2017 IEEE 7th International Conference on Electronics Information and Emergency Communication, ICEIEC 2017en_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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