An adaptive multi meme memetic algorithm embedding choice function, reinforcement learning and simple random hyper-heuristics

QR Code

An adaptive multi meme memetic algorithm embedding choice function, reinforcement learning and simple random hyper-heuristics

Hyper-heuristics are intended to be reusable domain independent approaches for solving complex computational problems. There are tailored approaches successfully applied to a specific problem, however they require parameter tuning and cannot be applied to another problem. Memetic Algorithms are a co...

Full description

Bibliographic Details
Main Author:	Ozcagdavul, Mazlum
Format:	Dissertation (University of Nottingham only)
Published:	2015
Subjects:	Hyper-Heuristic Cross-domain Heuristic Search Challenge (CHeSC 2011) Multi-meme memetic algorithm parameter tuning.
Online Access:	https://eprints.nottingham.ac.uk/30801/

Similar Items

An adaptive multi meme memetic algorithm embedding choice function hyper-heuristic
by: Qarout, Rehab
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)

An analysis of the Taguchi method for tuning a memetic algorithm with reduced computational time budget
by: Gümüş, Düriye Betül, et al.
Published: (2016)

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

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

A self-adaptive multimeme memetic algorithm co-evolving utility scores to control genetic operators and their parameter settings
by: Özcan, Ender, et al.
Published: (2016)

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

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

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

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

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

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

Combining Monte-Carlo and hyper-heuristic methods for the multi-mode resource-constrained multi-project scheduling problem
by: Asta, Shahriar, et al.
Published: (2016)

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

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

A case study of controlling crossover in a selection hyper-heuristic framework using the multidimensional knapsack problem
by: Drake, John H., et al.
Published: (2015)

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

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)

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

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

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

An investigation of tuning a memetic algorithm for cross-domain search
by: Gumus, Duriye Betul, et al.
Published: (2016)

Constructing constrained-version of magic squares using selection hyper-heuristics
by: Kheiri, Ahmed, et al.
Published: (2014)

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

Ant algorithm hyperheuristic approaches for scheduling problems
by: O'Brien, Ross
Published: (2008)

Establishing usability heuristics for heuristics evaluation in a specific domain: is there a consensus?
by: Hermawati, Setia, et al.
Published: (2016)

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

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

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)

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

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

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

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

The automatic design of hyper-heuristic framework with gene expression programming for combinatorial optimization problems
by: Sabar, Nasar, et al.
Published: (2014)

A tensor-based selection hyper-heuristic for cross-domain heuristic search
by: Asta, Shahriar, et al.
Published: (2015)

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

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