[HTML][HTML] Hyper-heuristics: A survey and taxonomy

T Dokeroglu, T Kucukyilmaz, EG Talbi - Computers & Industrial Engineering, 2024 - Elsevier
Hyper-heuristics are search techniques for selecting, generating, and sequencing (meta)-
heuristics to solve challenging optimization problems. They differ from traditional (meta) …

[HTML][HTML] Artificial Intelligence in manufacturing: State of the art, perspectives, and future directions

RX Gao, J Krüger, M Merklein, HC Möhring, J Váncza - CIRP Annals, 2024 - Elsevier
Inspired by the natural intelligence of humans and bio-evolution, Artificial Intelligence (AI)
has seen accelerated growth since the beginning of the 21st century. Successful AI …

Cellular manufacturing design 1996–2021: A review and introduction to applications of Industry 4.0

R YounesSinaki, A Sadeghi, H Mosadegh… - … Journal of Production …, 2023 - Taylor & Francis
As globalisation and competition grow rapidly, adopting a flexible manufacturing philosophy
becomes more critical for manufacturers. Cellular Manufacturing System (CMS) is among …

Deep reinforcement learning assisted genetic programming ensemble hyper-heuristics for dynamic scheduling of container port trucks

X Chen, R Bai, R Qu, J Dong… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Efficient truck dispatching is crucial for optimizing container terminal operations within
dynamic and complex scenarios. Despite good progress being made recently with more …

Parallel hyper heuristic algorithm based on reinforcement learning for the corridor allocation problem and parallel row ordering problem

J Liu, Z Zhang, S Liu, Y Zhang, T Wu - Advanced Engineering Informatics, 2023 - Elsevier
Hyper heuristics is a relatively new optimisation algorithm. Numerous studies have reported
that hyper heuristics are well applied in combinatorial optimisation problems. As a classic …

Multitask-oriented manufacturing service composition in an uncertain environment using a hyper-heuristic algorithm

S Zhang, Y Xu, W Zhang - Journal of Manufacturing Systems, 2021 - Elsevier
One of the most important issues in cloud manufacturing involves obtaining an optimal
manufacturing service composition solution. However, traditional manufacturing service …

A mixed closed-open multi-depot routing and scheduling problem for homemade meal delivery incorporating drone and crowd-sourced fleet: A self-adaptive hyper …

M Hamid, MM Nasiri, M Rabbani - Engineering Applications of Artificial …, 2023 - Elsevier
Meal delivery services is an enormous competitive market, and the most influential factor in
this market is customer experience. As a result, it is crucial to have an efficient delivery …

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

SM Venske, CP Almeida, R Lüders… - Computers & Operations …, 2022 - Elsevier
Hyper-heuristics (HH) emerged as more generalized and robust solutions for combinatorial
optimization, being successfully addressed to solve several real-world problems …

Metaheuristics in the Balance: A Survey on Memory‐Saving Approaches for Platforms with Seriously Limited Resources

S Khalfi, F Caraffini, G Iacca - International Journal of Intelligent …, 2023 - Wiley Online Library
In the last three decades, the field of computational intelligence has seen a profusion of
population‐based metaheuristics applied to a variety of problems, where they achieved …

[HTML][HTML] A Recent Review of Solution Approaches for Green Vehicle Routing Problem and its variants

AK Garside, R Ahmad, MNB Muhtazaruddin - Operations Research …, 2024 - Elsevier
The green vehicle routing problem (GVRP) has been a prominent topic in the literature on
logistics and transportation, leading to extensive research and previous review studies …