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Surrogate-assisted hyper-parameter search for portfolio optimisation: multi-period considerations
Portfolio management is a multi-period multi-objective optimisation problem subject to various constraints. However, portfolio management is treated...
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Hyper-parameter Tuning
Hyper-parameters can be loosely defined as those parameters that are not changed during the training process. For example, number of layers in a...
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Improving hyper-parameter self-tuning for data streams by adapting an evolutionary approach
Hyper-parameter tuning of machine learning models has become a crucial task in achieving optimal results in terms of performance. Several researchers...
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Hyper-parameter Optimised Artificial Neural Network Model for Failure Mode Identification of RC Shear Wall
A reinforced concrete (RC) shear wall is a popular lateral-force-resisting element in high-rising structures for better seismic performance and...
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Improving predictive performance in e-learning through hybrid 2-tier feature selection and hyper parameter-optimized 3-tier ensemble modeling
The paper presents a new feature selection technique developed in detail here to address improved prediction accuracy not only for the...
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Calculus and Optimisation for Machine Learning
This chapter delves into the fundamental concepts of calculus and optimisation related to machine learning, offering both theoretical insights and...
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Surrogate-assisted distributed swarm optimisation for computationally expensive geoscientific models
Evolutionary algorithms provide gradient-free optimisation which is beneficial for models that have difficulty in obtaining gradients; for instance,...
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Hyperelastic constitutive model parameters identification using optical-based techniques and hybrid optimisation
In this paper we propose a new optical-based technique to identify the constitutive relation coefficients of the hyperelastic material using a hybrid...
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A novel SpaSA based hyper-parameter optimized FCEDN with adaptive CNN classification for skin cancer detection
Skin cancer is the most prevalent kind of cancer in people. It is estimated that more than 1 million people get skin cancer every year in the world....
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Optimisation and Analysis of Streamwise-Varying Wall-Normal Blowing in a Turbulent Boundary Layer
Skin-friction drag is a major engineering concern, with wide-ranging consequences across many industries. Active flow-control techniques targeted at...
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Hyper-parameter Optimisation by Restrained Stochastic Hill Climbing
Machine learning practitioners often refer to hyper-parameter optimisation (HPO) as an art form and a skill that requires intuition and experience;...
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Utilizing interpretable stacking ensemble learning and NSGA-III for the prediction and optimisation of building photo-thermal environment and energy consumption
This study develops an approach consisting of a stacking model integrated with a multi-objective optimisation algorithm aimed at predicting and...
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Energy-efficient tool path generation and expansion optimisation for five-axis flank milling with meta-reinforcement learning
Five-axis flank milling is prevalent in complex surfaces manufacturing, and it typically consumes high electricity energy. To save energy and improve...
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Bayesian Optimisation of Large-scale Photonic Reservoir Computers
Reservoir computing is a growing paradigm for simplified training of recurrent neural networks, with a high potential for hardware implementations....
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Empirical Comparison of Heuristic Optimisation Methods for Automated Car Setup
Tuning a race car to improve its performance by adopting an effective setup is crucial and an extremely challenging task. The Open Racing Car...
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Network Design Optimisation Using Two Population-Based Search Strategies
In the pursuit of cost-effective services, the telecommunication industry faces increasing and intense competition, with tight constraints on...
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A novel Physarum-inspired competition algorithm for discrete multi-objective optimisation problems
Many real-world problems can be naturally formulated as discrete multi-objective optimisation (DMOO) problems. We have proposed a novel...
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A novel network intrusion detection method based on metaheuristic optimisation algorithms
The growing use of the Internet with its vulnerabilities has necessitated the adoption of Intrusion Detection Systems (IDS) to assure security. IDSs...
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Topological shape optimisation of a novel whole bead structure based on an interlaminar shear stress criterion
The bead area of the tire is vulnerable. As the key tire skeleton units, the whole bead typically shows promising application in guaranteeing the...
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ECG Signal Analysis based on the Spectrogram and Spider Monkey Optimisation Technique
Heart is responsible for circulation of the blood throughout the human body. The conduction of the heart is nonlinear in nature and hence needs...
