The automatic design of hyper-heuristic framework with gene expression programming for combinatorial optimization problems

QR Code

The automatic design of hyper-heuristic framework with gene expression programming for combinatorial optimization problems

Hyper-heuristic approaches aim to automate heuristic design in order to solve multiple problems instead of designing tailor-made methodologies for individual problems. Hyper-heuristics accomplish this through a high level heuristic (heuristic selection mechanism and an acceptance criterion). This au...

Full description

Bibliographic Details
Main Authors:	Sabar, Nasar, Ayob, Masri, Kendall, Graham, Qu, Rong
Format:	Article
Published:	Institute of Electrical and Electronics Engineers 2014
Subjects:	Hyper-heuristics Gene Expression Programming Timetabling Vehicle Routing Dynamic Optimization
Online Access:	https://eprints.nottingham.ac.uk/28274/

Similar Items

A dynamic multiarmed bandit-gene expression programming hyper-heuristic for combinatorial optimization problems
by: Sabar, Nasar R., et al.
Published: (2015)

A graph-based hyper heuristic for timetabling problems
by: Burke, Edmund, et al.
Published: (2007)

A graph-based hyper heuristic for timetabling problems
by: Burke, Edmund, et al.
Published: (2007)

Hyper-heuristics and fairness in examination timetabling problems
by: Muklason, Ahmad
Published: (2017)

Hyper-heuristic approaches to automatically designing heuristics as mutation operators for evolutionary programming on function classes
by: Hong, Libin
Published: (2018)

Multi-stage hyper-heuristics for optimisation problems
by: Kheiri, Ahmed
Published: (2014)

A multi-objective hyper-heuristic based on choice function
by: Maashi, Mashael, et al.
Published: (2014)

Hyper-heuristics for grouping problems
by: Elhag, Anas
Published: (2015)

Hybridizations within a graph based hyper-heuristic framework for university timetabling problems
by: Qu, Rong, et al.
Published: (2008)

Automated generation of constructive ordering heuristics for educational timetabling
by: Pillay, Nelishia, et al.
Published: (2017)

A hyper-heuristic approach to automated generation of mutation operators for evolutionary programming
by: Hong, Libin, et al.
Published: (2017)

A genetic programming hyper-heuristic approach for evolving 2-D strip packing heuristics
by: Burke, Edmund K., et al.
Published: (2010)

An experimental study of hyper-heuristic selection and acceptance mechanism for combinatorial t-way test suite generation
by: Zamil, Kamal Z., et al.
Published: (2017)

Improving performance of a hyper-heuristic using a multilayer perceptron for vehicle routing
by: Tyasnurita, Raras, et al.
Published: (2015)

Crossover control in selection hyper-heuristics: case studies using MKP and HyFlex
by: Drake, John H.
Published: (2014)

High school timetabling using selection hyperheuristics
by: Nasir Ahmed, Leena Hassan
Published: (2014)

Searching the hyper-heuristic design space
by: Swan, Jerry, et al.
Published: (2014)

Grammatical evolution hyper-heuristic for combinatorial optimization problems
by: Sabar, Nasar, et al.
Published: (2013)

Performance comparison of selection hyper-heuristics on new HyFlex domains
by: Almutairi, Alhanof Khalid S
Published: (2015)

Hyper-heuristics: a survey of the state of the art
by: Burke, Edmund, et al.
Published: (2013)

An iterated multi-stage selection hyper-heuristic
by: Kheiri, Ahmed, et al.
Published: (2016)

A genetic programming hyper-heuristic for the multidimensional knapsack problem
by: Drake, John H., et al.
Published: (2014)

A grouping hyper-heuristic framework: application on graph colouring
by: Elhag, Anas, et al.
Published: (2015)

Reinforcement learning hyper-heuristics for optimisation
by: Alanazi, Fawaz
Published: (2017)

A hyper-heuristic with two guidance indicators for bi-objective mixed-shift vehicle routing problem with time windows
by: Chen, Binhui, et al.
Published: (2018)

A hyper-heuristic with two guidance indicators for bi-objective mixed-shift vehicle routing problem with time windows
by: Chen, Binhui, et al.
Published: (2018)

Choice function based hyper-heuristics for multi-objective optimization
by: Özcan, Ender
Published: (2015)

Iterated local search using an add and delete hyper- heuristic for university course timetabling
by: Soria-Alcaraz, Jorge A., et al.
Published: (2016)

Case Based Heuristic Selection for Timetabling Problems
by: Burke, Edmund, et al.
Published: (2006)

Case Based Heuristic Selection for Timetabling Problems
by: Burke, Edmund, et al.
Published: (2006)

Hybrid Graph Heuristics within a Hyper-heuristic Approach to Exam Timetabling Problems
by: Burke, Edmund, et al.
Published: (2005)

A Tabu Search hyper-heuristic strategy for t-way test suite generation
by: Zamil, Kamal Z., et al.
Published: (2016)

Automating the packing heuristic design process with genetic programming
by: Burke, Edmund K., et al.
Published: (2012)

A stochastic local search algorithm with adaptive acceptance for high-school timetabling
by: Kheiri, Ahmed, et al.
Published: (2014)

Modified choice function heuristic selection for the multidimensional knapsack problem
by: Drake, John H., et al.
Published: (2014)

A new model and a hyper-heuristic approach for two-dimensional shelf space allocation
by: Bai, Ruibin, et al.
Published: (2012)

A tensor based hyper-heuristic for nurse rostering
by: Asta, Shahriar, et al.
Published: (2016)

Multiobjective selection hyper-heuristics using reinforcement learning
by: Li, Wenwen
Published: (2018)

A learning automata based multiobjective hyper-heuristic
by: Li, Wenwen, et al.
Published: (2017)

Solving high school timetabling problems worldwide using selection hyper-heuristics
by: Ahmed, Leena N., et al.
Published: (2015)