Results 181 to 190 of about 4,754 (207)

A Re-characterization of Hyper-Heuristics

2017
Hyper-heuristics are an optimization methodology which ‘search the space of heuristics’ rather than directly searching the space of the underlying candidate-solution representation. Hyper-heuristic search has traditionally been divided into two layers: a lower problem-domain layer (where domain-specific heuristics are applied) and an upper hyper ...
Jerry Swan, Patrick De Causmaecker, Simon Martin, Ender Özcan   +3 more
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

Generation Perturbative Hyper-Heuristics

2018
Nelishia Pillay, Rong Qu
openaire   +1 more source

Hyper-Heuristics based on Reinforcement Learning, Balanced Heuristic Selection and Group Decision Acceptance

Applied Soft Computing Journal, 2020
Valdivino Alexandre de Santiago Júnior, Ender Ozcan, Vinicius Renan de Carvalho   +2 more
exaly  

Semiconductor final testing scheduling using Q-learning based hyper-heuristic

Expert Systems With Applications, 2022
Jian Lin, Yang-Yuan Li, Hongbo Song
exaly  

Selection Constructive Hyper-Heuristics

2018
Nelishia Pillay, Rong Qu
openaire   +1 more source

Automatic design of hyper-heuristic based on reinforcement learning

Information Sciences, 2018
Shin Siang Choong, Li-Pei Wong, Chee Peng Lim   +2 more
exaly  

Hyper-heuristics

2006
openaire   +1 more source

A tensor-based selection hyper-heuristic for cross-domain heuristic search

Information Sciences, 2015
Shahriar Asta, Ender Ozcan
exaly  

A genetic programming hyper-heuristic approach for the multi-skill resource constrained project scheduling problem

Expert Systems With Applications, 2020
Jian Lin, Lei Zhu, Kaizhou Gao
exaly