A survey of recent extended variants of the traveling salesman and vehicle routing problems for unmanned aerial vehicles
The use of Unmanned Aerial Vehicles (UAVs) is rapidly growing in popularity. Initially
introduced for military purposes, over the past few years, UAVs and related technologies …
introduced for military purposes, over the past few years, UAVs and related technologies …
A framework for demonstrating practical quantum advantage: comparing quantum against classical generative models
Generative modeling has seen a rising interest in both classical and quantum machine
learning, and it represents a promising candidate to obtain a practical quantum advantage in …
learning, and it represents a promising candidate to obtain a practical quantum advantage in …
The collective intelligence of evolution and development
Collective intelligence and individual intelligence are usually considered to be
fundamentally different. Individual intelligence is uncontroversial. It occurs in organisms with …
fundamentally different. Individual intelligence is uncontroversial. It occurs in organisms with …
Design for an individual: connectionist approaches to the evolutionary transitions in individuality
The truly surprising thing about evolution is not how it makes individuals better adapted to
their environment, but how it makes individuals. All individuals are made of parts that used to …
their environment, but how it makes individuals. All individuals are made of parts that used to …
[HTML][HTML] Natural Induction: Spontaneous adaptive organisation without natural selection
Evolution by natural selection is believed to be the only possible source of spontaneous
adaptive organisation in the natural world. This places strict limits on the kinds of systems …
adaptive organisation in the natural world. This places strict limits on the kinds of systems …
A deep neural architecture for real-time access point scheduling in uplink cell-free massive MIMO
M Guenach, AA Gorji… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In this paper, a novel hybrid architecture is proposed combining expert knowledge for
optimal power allocation and deep artificial neural networks (ANN) to address the access …
optimal power allocation and deep artificial neural networks (ANN) to address the access …
Learning to optimise general TSP instances
Abstract The Travelling Salesman Problem is a classical combinatorial optimisation problem
(COP). In recent years, learning to optimise approaches have shown success in solving TSP …
(COP). In recent years, learning to optimise approaches have shown success in solving TSP …
Learning multi-satellite scheduling policy with heterogeneous graph neural network
Z Wang, X Hu, H Ma, W Xia - Advances in Space Research, 2024 - Elsevier
In this paper, we investigate the multi-satellite scheduling (MSS) problem, a combinatorial
optimization problem (COP) that aims to enhance satellite utilization. Numerous scholars …
optimization problem (COP) that aims to enhance satellite utilization. Numerous scholars …
Towards a machine learning-aided metaheuristic framework for a production/distribution system design problem
Z Xiao, J Zhi, BB Keskin - Computers & Operations Research, 2022 - Elsevier
Recent advances have seen vast success in the application of metaheuristics in NP-hard
combinatorial problems. A generic metaheuristic design usually consists of three core …
combinatorial problems. A generic metaheuristic design usually consists of three core …
[HTML][HTML] Towards circular economy of wasted printed circuit boards of mobile phones fuelled by machine learning and robust mathematical optimization framework
Estimating the operating conditions using conventional process analysis techniques for the
maximum metal extraction from the wasted printed circuit boards (WPCB) can provide sub …
maximum metal extraction from the wasted printed circuit boards (WPCB) can provide sub …