Instance-based parameter tuning via search trajectory similarity clustering

Instance-based parameter tuning via search trajectory similarity clustering

This paper is concerned with automated tuning of parameters in local-search based meta-heuristics. Several generic approaches have been introduced in the literature that returns a ”one-size-fits-all” parameter configuration for all instances. This is unsatisfactory since different instances may requ...

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Bibliographic Details
Main Authors: LINDAWATI, Linda, LAU, Hoong Chuin, LO, David
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2011
Subjects:
instance-based automated tuning parameter
search trajectory
sequence alignment
instance clustering
Artificial Intelligence and Robotics
Operations Research, Systems Engineering and Industrial Engineering
Software Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/1336
https://ink.library.smu.edu.sg/context/sis_research/article/2335/viewcontent/InstanceBasedParameterTuning_lion_2011.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/1336
https://ink.library.smu.edu.sg/context/sis_research/article/2335/viewcontent/InstanceBasedParameterTuning_lion_2011.pdf

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