Instance-specific selection of AOS methods for solving combinatorial optimisation problems via neural networks
Solving combinatorial optimization problems using a fixed set of operators has been known to produce poor quality solutions. Thus, adaptive operator selection (AOS) methods have been proposed. But, despite such effort, challenges such as the choice of suitable AOS method and configuring it correctly...
Saved in:
Main Authors: | TENG, Teck Hou (DENG Dehao), LAU, Hoong Chuin, GUNAWAN, Aldy |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2018
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/4285 https://ink.library.smu.edu.sg/context/sis_research/article/5288/viewcontent/LION_2018___Instance_Specific_Selection_of_AOS_Methods_for_Solving_Combinatorial_Optimisation_Problems_via_Neural_Network.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
A Combinatorial Auction Framework for Solving Decentralized Scheduling Problems
by: LAU, Hoong Chuin, et al.
Published: (2008) -
FloTra: Flower-shape trajectory mining for instance-specific parameter tuning
by: LINDAWATI, Lindawati, et al.
Published: (2013) -
A review on learning to solve combinatorial optimisation problems in manufacturing
by: ZHANG, Cong, et al.
Published: (2023) -
Combinatorial approaches for hard problems in manpower scheduling
by: LAU, Hoong Chuin
Published: (1996) -
Hybrid Metaheuristics for Solving the Quadratic Assignment Problem and the Generalized Quadratic Assignment Problem
by: GUNAWAN, Aldy, et al.
Published: (2014)