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Hyper-heuristic

Known as: Hyperheuristic, Hyper-heuristics, Hyper heuristic 
A hyper-heuristic is a heuristic search method that seeks to automate, often by the incorporation of machine learning techniques, the process of… 
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Related topics

Related topics

20 relations
Algorithm SelectionArtificial intelligenceBin packing problemBoolean satisfiability problem

Broader (2)

Mathematical optimizationOperations research

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
Templar - A Framework for Template-Method Hyper-Heuristics
In this work we introduce Templar, a software framework for customising algorithms via the generative technique of template… 
2014
2014
Analyses of ITS and LSU gene regions provide congruent results on fungal community responses
2014
2014
Iterated Local Search for a Vehicle Routing Problem with Synchronization Constraints
This paper deals with vehicle routing problem (VRP) with synchronization constraints. This problem consists in determining a… 
Highly Cited
2013
Highly Cited
2013
Performance Overhead among Three Hypervisors: An Experimental Study Using Hadoop Benchmarks
Hyper visors are widely used in cloud environments and their impact on application performance has been a topic of significant… 
Highly Cited
2010
Highly Cited
2010
WELL-SAMPLED FAR-INFRARED SPECTRAL ENERGY DISTRIBUTIONS OF z ∼ 2 GALAXIES: EVIDENCE FOR SCALED UP COOL GALAXIES
We present an analysis of the far-infrared (FIR) spectral energy distributions (SEDs) of two massive K-selected galaxies at z= 2… 
2007
2007
A Hybrid Meta-Heuristic for Multi-Objective Optimization: MOSATS
Real optimization problems often involve not one, but multiple objectives, usually in conflict. In single-objective optimization… 
Highly Cited
2005
Highly Cited
2005
Abstraction, Reformulation and Approximation, 6th International Symposium, SARA 2005, Airth Castle, Scotland, UK, July 26-29, 2005, Proceedings
Full Papers.- Verifying the Incorrectness of Programs and Automata.- Generating Admissible Heuristics by Abstraction for Search… 
2003
2003
An Ant Algorithm Hyper-heuristic
Ant algorithms were introduced in 1996 by Dorigo as a collaborative optimisation method, but it can be argued that they have not… 
1997
1997
Bayesian Approaches to Segmenting A Simple Time Series
The segmentation problem arises in many applications in data mining, A.I. and statistics. In this paper, we consider segmenting… 
Highly Cited
1992
Highly Cited
1992
Hyper Petersen network: yet another hypercube-like topology
The authors propose and analyze a new hypercubelike topology, called the hyper-Petersen (HP) network, which is constructed from… 
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