Integrated Genetic Algorithm with Hill Climbing for the Bandwidth Minimization Porblem

In this paper, we propose an integrated Genetic Algorithm with Hill Climbing to solve the matrix bandwidth minimization problem, which is to reduce bandwidth by permuting rows and columns resulting in the nonzero elements residing in a band as close as possible to the diagonal. Experiments show that...

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Bibliographic Details
Main Authors: LIM, Andrew, RODRIGUES, Brian, XIAO, Fei
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2003
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Online Access:https://ink.library.smu.edu.sg/lkcsb_research/2068
https://doi.org/10.1007/3-540-45110-2_41
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Institution: Singapore Management University
Language: English
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