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Air Quality Index Prediction Using Support Vector Regression Based on African Buffalo Optimization
Support Vector Regression (SVR) is one of the machine learning models widely used in regression analysis. As an alternative for fitting a line to the...
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A review on the self and dual interactions between machine learning and optimisation
Machine learning and optimisation are two growing fields of artificial intelligence with an enormous number of computer science applications. The...
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Unsupervised character recognition with graphene memristive synapses
Memristive devices being applied in neuromorphic computing are envisioned to significantly improve the power consumption and speed of future...
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MAGMA: inference and prediction using multi-task Gaussian processes with common mean
A novel multi-task Gaussian process (GP) framework is proposed, by using a common mean process for sharing information across tasks. In particular,...
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Reduced order modelling using neural networks for predictive modelling of 3d-magneto-mechanical problems with application to magnetic resonance imaging scanners
The design of magnets for magnetic resonance imaging (MRI) scanners requires the numerical simulation of a coupled magneto-mechanical system where...
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More Precise Runtime Analyses of Non-elitist Evolutionary Algorithms in Uncertain Environments
Real-world applications often involve “uncertain” objectives, i.e., where optimisation algorithms observe objective values as a random variables with...
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Application of Supervised Machine Learning Methods on the Multidimensional Knapsack Problem
Machine Learning (ML) has gained much importance in recent years as many of its effective applications are involved in different fields, healthcare,...
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Rigorous Performance Analysis of Hyper-heuristics
We provide an overview of the state-of-the-art in the time complexity analysis of selection hyper-heuristics for combinatorial optimisation. These...
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A metamodel of the wire arc additive manufacturing process based on basis spline entities
Wire arc additive manufacturing (WAAM) process is a metal additive manufacturing (AM) technology that is becoming increasingly important in Industry...
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A Deep Learning Model for Heterogeneous Dataset Analysis - Application to Winter Wheat Crop Yield Prediction
Western countries rely heavily on wheat, and yield prediction is crucial. Time-series deep learning models, such as Long Short Term Memory (LSTM),...
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An in-depth and contrasting survey of meta-heuristic approaches with classical feature selection techniques specific to cervical cancer
Data mining and machine learning algorithms’ performance is degraded by data of high-dimensional nature due to an issue called “curse of...
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An Evolutionary Hyper-Heuristic for Airport Slot Allocation
A large number of airports across Europe are resource constrained. With long-term growth in air transportation forecast to rise, more airports are...
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On Predicting the Work Load for Service Contractors
Service Industries rely on resource planning and service optimisation to improve operational efficiency. Forecasting the demand for the service with...
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Evolutionary Approaches to Improving the Layouts of Instance-Spaces
We propose two new methods for evolving the layout of an instance-space. Specifically we design three different fitness metrics that seek to: (i)...
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Adaptive Neuro-Surrogate-Based Optimisation Method for Wave Energy Converters Placement Optimisation
Installed renewable energy capacity has expanded massively in recent years. Wave energy, with its high capacity factors, has great potential to...
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Modified Lévy flight distribution algorithm for global optimization and parameters estimation of modified three-diode photovoltaic model
Many real-world problems demand optimization, minimization of costs and maximization of profits, and meta-heuristic algorithms have proficiently...
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Enhancement to Safety and Security of Deep Learning
Significant efforts from the research community have been spent on studying various methods to enhance either the training process or a trained model...
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Fair Feature Selection with a Lexicographic Multi-objective Genetic Algorithm
There is growing interest in learning from data classifiers whose predictions are both accurate and fair, avoiding discrimination against sub-groups...
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Self Hyper-Parameter Tuning for Data Streams
The widespread usage of smart devices and sensors together with the ubiquity of the Internet access is behind the exponential growth of data streams....
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A Novel Two-Level Clustering-Based Differential Evolution Algorithm for Training Neural Networks
Determining appropriate weights and biases for feed-forward neural networks is a critical task. Despite the prevalence of gradient-based methods for...