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...
Saved in:
Main Authors: | LINDAWATI, Linda, LAU, Hoong Chuin, LO, David |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2011
|
Subjects: | |
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 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Clustering of Search Trajectory and its Application to Parameter Tuning
by: Lindawati, Linda, et al.
Published: (2013) -
Automated Parameter Tuning Framework for Heterogeneous and Large Instances: Case study in Quadratic Assignment Problem
by: LINDAWATI, Linda, et al.
Published: (2013) -
Generic Instance-Specific Automated Parameter Tuning Framework
by: LINDAWATI, Linda
Published: (2014) -
PAC learning axis-aligned rectangles with respect to product distributions from multiple-instance examples
by: Long, P.M., et al.
Published: (2014) -
Semi-supervised tooth instance segmentation
by: Ling, Zijie
Published: (2024)