[HTML][HTML] Hyper-heuristics: A survey and taxonomy
Hyper-heuristics are search techniques for selecting, generating, and sequencing (meta)-
heuristics to solve challenging optimization problems. They differ from traditional (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
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 …
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 …
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
Efficient truck dispatching is crucial for optimizing container terminal operations within
dynamic and complex scenarios. Despite good progress being made recently with more …
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
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 …
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 …
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 …
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 …
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
Hyper-heuristics (HH) emerged as more generalized and robust solutions for combinatorial
optimization, being successfully addressed to solve several real-world problems …
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 …
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
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 …
logistics and transportation, leading to extensive research and previous review studies …