Results 231 to 240 of about 3,855 (254)

Markov chain hyper-heuristic (MCHH)

Proceedings of the 13th annual conference on Genetic and evolutionary computation, 2011
In this paper we present the Markov chain Hyper-heuristic (MCHH), a novel online selective hyper-heuristic which employs reinforcement learning and Markov chains to provide an adaptive heuristic selection method. Experiments are conducted to demonstrate the efficacy of the method and comparisons are made with standard heuristics, a random hyper ...
Kent McClymont, Edward C. Keedwell
openaire   +1 more source

Hyper-heuristic Learning for Swarm Robots

2020
This thesis develops a framework for automatic construction of complex swarm robot behaviours. It demonstrates the benefit of machine learning in assisting swarm robots in unknown and dynamic environments.
openaire   +1 more source

HHFS: Hyper-heuristic feature selection

Intelligent Data Analysis, 2016
Feature selection is an important machine learning field which can provide a key role for the challenging problem of classifying high-dimensional data. This problem is finding effective features among the set of all features in such that the final feature set can improve accuracy and reduce complexity.
openaire   +1 more source

Hyper-heuristics and cross-domain optimization

Proceedings of the 14th annual conference companion on Genetic and evolutionary computation, 2012
Hyper-heuristics comprise a set of approaches which are motivated (at least in part) by the goal of automating the design of heuristic methods to solve hard computational search problems. An underlying strategic research challenge is to develop more generally applicable search methodologies.
openaire   +1 more source

Hyper-heuristics tutorial

Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, 2017
Daniel R. Tauritz, John R. Woodward
openaire   +1 more source

A study of ant-based pheromone spaces for generation constructive hyper-heuristics

Swarm and Evolutionary Computation, 2022
Emilio Singh, Nelishia Pillay
exaly  

Selection hyper-heuristics for the multi and many-objective quadratic assignment problem

Computers and Operations Research, 2022
Sandra M Venske, Carolina P Almeida, Ricardo Lüders   +2 more
exaly  

Evolutionary learning of selection hyper-heuristics for text classification

Applied Soft Computing Journal, 2023
Jonathan Estrella-Ramirez, Juan Carlos Gomez   +1 more
exaly  

Hyper-heuristics

2006
openaire   +1 more source

A methodology for determining an effective subset of heuristics in selection hyper-heuristics

European Journal of Operational Research, 2017
Jorge A Soria-Alcaraz, Gabriela Ochoa, Edmund K Burke   +2 more
exaly