FloTra: Flower-shape trajectory mining for instance-specific parameter tuning
The performance of a heuristic algorithm is highly dependent on its parameter configuration, yet finding a good parameter configuration is often a time-consuming task. In this paper we propose FloTra, a Flower graph mining for graph search Trajectory pattern extraction for generic instance-specific...
Saved in:
Main Authors: | LINDAWATI, Lindawati, ZHU, Feida, LAU, Hoong Chuin |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2013
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/1838 https://ink.library.smu.edu.sg/context/sis_research/article/2837/viewcontent/MIC_13.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Instance-based parameter tuning via search trajectory similarity clustering
by: LINDAWATI, Linda, et al.
Published: (2011) -
Automated Parameter Tuning Framework for Heterogeneous and Large Instances: Case study in Quadratic Assignment Problem
by: LINDAWATI, Linda, et al.
Published: (2013) -
Clustering of Search Trajectory and its Application to Parameter Tuning
by: Lindawati, Linda, et al.
Published: (2013) -
Generic Instance-Specific Automated Parameter Tuning Framework
by: LINDAWATI, Linda
Published: (2014) -
Fine-tuning algorithm parameters using the design of experiments approach
by: GUNAWAN, Aldy, et al.
Published: (2011)