Cover Image

Optimisation of Aircraft Maintenance Schedules

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Urquhart, Neil, Rahimi, Amir, Tingas, Efstathios-Al.
Format:	Preprint
Published:	2025
Subjects:	Neural and Evolutionary Computing Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Evolutionary Multi-Objective Optimisation for Fairness-Aware Self Adjusting Memory Classifiers in Data Streams
by: Amarasinghe, Pivithuru Thejan, et al.
Published: (2024)

Fuzzy Logic -- Based Scheduling System for Part-Time Workforce
by: Nguyen, Tri, et al.
Published: (2025)

Genetic-based Constraint Programming for Resource Constrained Job Scheduling
by: Nguyen, Su, et al.
Published: (2024)

Online Optimization of Curriculum Learning Schedules using Evolutionary Optimization
by: Jiwatode, Mohit, et al.
Published: (2024)

Neural Optimizer Equation, Decay Function, and Learning Rate Schedule Joint Evolution
by: Morgan, Brandon, et al.
Published: (2024)

Knowledge-Assisted Dual-Stage Evolutionary Optimization of Large-Scale Crude Oil Scheduling
by: Zhang, Wanting, et al.
Published: (2024)

On the Use of Evolutionary Optimization for the Dynamic Chance Constrained Open-Pit Mine Scheduling Problem
by: Pathiranage, Ishara Hewa, et al.
Published: (2026)

Online Operator Design in Evolutionary Optimization for Flexible Job Shop Scheduling via Large Language Models
by: Liao, Rongjie, et al.
Published: (2025)

Surrogate-Assisted Genetic Programming with Rank-Based Phenotypic Characterisation for Dynamic Multi-Mode Project Scheduling
by: Tian, Yuan, et al.
Published: (2026)

Bi-Objective Evolutionary Optimization for Large-Scale Open Pit Mine Scheduling Problem under Uncertainty with Chance Constraints
by: Pathiranage, Ishara Hewa, et al.
Published: (2025)

NeuroMorse: A Temporally Structured Dataset For Neuromorphic Computing
by: Walters, Ben, et al.
Published: (2025)

Discrete Differential Evolution Particle Swarm Optimization Algorithm for Energy Saving Flexible Job Shop Scheduling Problem Considering Machine Multi States
by: Wang, Da, et al.
Published: (2025)

Diagnostic Method for Hydropower Plant Condition-based Maintenance combining Autoencoder with Clustering Algorithms
by: Jad, Samy, et al.
Published: (2025)

A Unified Cortical Circuit Model with Divisive Normalization and Self-Excitation for Robust Representation and Memory Maintenance
by: Su, Jie, et al.
Published: (2025)

An Evolutional Neural Network Framework for Classification of Microarray Data
by: Evari, Maryam Eshraghi, et al.
Published: (2024)

A Temporal Anomaly Detection System for Vehicles utilizing Functional Working Groups and Sensor Channels
by: Neupane, Subash, et al.
Published: (2022)

Rapidly adapting robot swarms with Swarm Map-based Bayesian Optimisation
by: Bossens, David M., et al.
Published: (2020)

Efficient Optimisation of Physical Reservoir Computers using only a Delayed Input
by: Picco, Enrico, et al.
Published: (2024)

Optimizing PM2.5 Forecasting Accuracy with Hybrid Meta-Heuristic and Machine Learning Models
by: Ghafariasl, Parviz, et al.
Published: (2024)

Neural Control System for Continuous Glucose Monitoring and Maintenance
by: Wasi, Azmine Toushik
Published: (2024)

Cartesian Genetic Programming Approach for Designing Convolutional Neural Networks
by: Krzywda, Maciej, et al.
Published: (2024)

Kolmogorov-Arnold networks for metal surface defect classification
by: Krzywda, Maciej, et al.
Published: (2025)

NeuroCoreX: An Open-Source FPGA-Based Spiking Neural Network Emulator with On-Chip Learning
by: Gautam, Ashish, et al.
Published: (2025)

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization
by: Yang, Xu, et al.
Published: (2025)

Task-Specific Activation Functions for Neuroevolution using Grammatical Evolution
by: Winter, Benjamin David, et al.
Published: (2025)

Input-Triggered Hardware Trojan Attack on Spiking Neural Networks
by: Raptis, Spyridon, et al.
Published: (2025)

BuildEvo: Designing Building Energy Consumption Forecasting Heuristics via LLM-driven Evolution
by: Lin, Subin, et al.
Published: (2025)

Neural Field Turing Machine: A Differentiable Spatial Computer
by: Malhotra, Akash, et al.
Published: (2025)

Playing Atari Space Invaders with Sparse Cosine Optimized Policy Evolution
by: O'Connor, Jim, et al.
Published: (2025)

SDSNN: A Single-Timestep Spiking Neural Network with Self-Dropping Neuron and Bayesian Optimization
by: Xu, Changqing, et al.
Published: (2025)

An improved clustering-based multi-swarm PSO using local diversification and topology information
by: Matanga, Yves, et al.
Published: (2025)

Energy Costs and Neural Complexity Evolution in Changing Environments
by: Heesom-Green, Sian, et al.
Published: (2025)

Temporal Regularization Training: Unleashing the Potential of Spiking Neural Networks
by: Zhang, Boxuan, et al.
Published: (2025)

Memory-DD: A Low-Complexity Dendrite-Inspired Neuron for Temporal Prediction Tasks
by: Yang, Dongjian, et al.
Published: (2025)

Growing Reservoirs with Developmental Graph Cellular Automata
by: Barandiaran, Matias, et al.
Published: (2025)

PASCAL: Precise and Efficient ANN- SNN Conversion using Spike Accumulation and Adaptive Layerwise Activation
by: Ramesh, Pranav, et al.
Published: (2025)

OPAL: Operator-Programmed Algorithms for Landscape-Aware Black-Box Optimization
by: Lian, Junbo Jacob, et al.
Published: (2025)

Concepts Learned Visually by Infants Can Contribute to Visual Learning and Understanding in AI Models
by: Treger, Shify, et al.
Published: (2025)

Customized Exploration of Landscape Features Driving Multi-Objective Combinatorial Optimization Performance
by: Nikolikj, Ana, et al.
Published: (2025)

Large Language Model-Driven Surrogate-Assisted Evolutionary Algorithm for Expensive Optimization
by: Xie, Lindong, et al.
Published: (2025)