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Relatives assist genetic algorithm for the rectangle packing problem
Wang C.; Yu X.
2007-04-01
Source PublicationQinghua Daxue Xuebao/Journal of Tsinghua University
ISSN10000054
Volume47Issue:4Pages:453-456
AbstractWhen the rectangle packing problem (RPP) is solved using the geometry position-based method, the solution space contains the best placement but the space is very large. An algorithm combining the geometry position-based method with a genetic algorithm was developed to search in this large space. The local solution space characteristics are used to design the relatives assist genetic algorithms (RAGA), in which a certain ratio of individuals are chosen from the parents' generation for using as the excluders to keep the offspring further away. Three experiments show that RAGA is good for finding the global best for small problems and keeps the population evolving for large problems.
KeywordRectangle packing problem Relative assist genetic algorithm Sequence pair coding
URLView the original
Language英語English
Fulltext Access
Document TypeJournal article
CollectionUniversity of Macau
AffiliationTsinghua University
Recommended Citation
GB/T 7714
Wang C.,Yu X.. Relatives assist genetic algorithm for the rectangle packing problem[J]. Qinghua Daxue Xuebao/Journal of Tsinghua University, 2007, 47(4), 453-456.
APA Wang C.., & Yu X. (2007). Relatives assist genetic algorithm for the rectangle packing problem. Qinghua Daxue Xuebao/Journal of Tsinghua University, 47(4), 453-456.
MLA Wang C.,et al."Relatives assist genetic algorithm for the rectangle packing problem".Qinghua Daxue Xuebao/Journal of Tsinghua University 47.4(2007):453-456.
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