[HTML][HTML] Metaheuristics “in the large”

J Swan, S Adriaensen, AEI Brownlee… - European Journal of …, 2022 - Elsevier
Following decades of sustained improvement, metaheuristics are one of the great success
stories of optimization research. However, in order for research in metaheuristics to avoid …

A systematic review of hyper-heuristics on combinatorial optimization problems

M Sánchez, JM Cruz-Duarte… - IEEE …, 2020 - ieeexplore.ieee.org
Hyper-heuristics aim at interchanging different solvers while solving a problem. The idea is
to determine the best approach for solving a problem at its current state. This way, every time …

[图书][B] Hyper-heuristics: theory and applications

N Pillay, R Qu - 2018 - Springer
Hyper-heuristics is a fairly recent technique that aims at effectively solving various real-world
optimization problems. This is the first book on hyper-heuristics, and aims to bring together …

Hyper-heuristics to customise metaheuristics for continuous optimisation

JM Cruz-Duarte, I Amaya, JC Ortiz-Bayliss… - Swarm and Evolutionary …, 2021 - Elsevier
Literature is prolific with metaheuristics for solving continuous optimisation problems. But, in
practice, it is difficult to choose one appropriately for several reasons. First and …

A selection hyper-heuristic algorithm with Q-learning mechanism

F Zhao, Y Liu, N Zhu, T Xu - Applied Soft Computing, 2023 - Elsevier
The selection of an algorithm in the real world of the application domain is a challenging
problem as no specific algorithm exists capable of solving all issues to a satisfactory …

Towards a generalised metaheuristic model for continuous optimisation problems

JM Cruz-Duarte, JC Ortiz-Bayliss, I Amaya, Y Shi… - Mathematics, 2020 - mdpi.com
Metaheuristics have become a widely used approach for solving a variety of practical
problems. The literature is full of diverse metaheuristics based on outstanding ideas and …

A smart optimizer approach for clustering protocol in UAV-assisted IoT wireless networks

SM Bozorgi, M Golsorkhtabaramiri, S Yazdani, S Adabi - Internet of Things, 2023 - Elsevier
Abstract The Internet of Things (IoT) is a network in the socio-physical space that provides a
platform for large-scale data collection. In this context, Wireless Sensor Nodes (WSN) and …

Automated design of search algorithms: Learning on algorithmic components

W Meng, R Qu - Expert Systems with Applications, 2021 - Elsevier
This paper proposes AutoGCOP, a new general framework for automated design of local
search algorithms. In a recently established General Combinatorial Optimisation Problem …

A primary study on hyper-heuristics to customise metaheuristics for continuous optimisation

JM Cruz-Duarte, I Amaya… - 2020 IEEE congress …, 2020 - ieeexplore.ieee.org
Literature is prolific with metaheuristics for solving continuous optimisation problems. But, in
practice, it is difficult to choose one appropriately. Moreover, it is necessary to determine a …

Beyond hyper-heuristics: A squared hyper-heuristic model for solving job shop scheduling problems

A Vela, JM Cruz-Duarte, JC Ortiz-Bayliss… - IEEE Access, 2022 - ieeexplore.ieee.org
Hyper-heuristics (HHs) stand as a relatively recent approach to solving optimization
problems. There are different kinds of HHs. One of them deals with how low-level heuristics …