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On the Active Use of an ND-Tree-Based Archive for Multi-Objective Optimisation
A number of data structures have been proposed for the storage and efficient update of unbounded sets of mutually non-dominating solutions. The...
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A probabilistic meta-heuristic optimisation algorithm for image multi-level thresholding
The spread of the Severe Acute Respiratory Syndrome CoronaVirus 2 (SARS-CoV-2) which causes CoronaVirus Disease 2019 (COVID-19) has challenged many...
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Global Optimisation for Improved Volume Tracking of Time-Varying Meshes
Processing of deforming shapes represented by sequences of triangle meshes with connectivity varying in time is difficult, because of the lack of...
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Parametric Bandits for Search Engine Marketing Optimisation
Expense optimisation for online marketing is a relevant and challenging task. In particular, the problem of splitting daily budget among campaigns,...
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Network-aware virtual machine placement using enriched butterfly optimisation algorithm in cloud computing paradigm
This article presents a virtual machine placement technique aimed at minimizing power usage in heterogeneous cloud data centers. In this study, an...
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Feature Ranking for Feature Sorting and Feature Selection with Optimisation
This paper introduces a framework called FR4(FS) \(^2\)...
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Deep spatial-temporal bi-directional residual optimisation based on tensor decomposition for traffic data imputation on urban road network
The capacity of fully exploiting underlying spatial-temporal dependencies holds the key for missing traffic data imputation, however, previous...
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Congestion aware ant colony optimisation algorithm for routing and spectrum assignment in flexi-grid optical burst switching networks
This paper presents an improved distributed ant colony optimisation algorithm for routing and spectrum assignment (RSA) on optical burst switched...
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Fast elitist ABC for makespan optimisation in interval JSP
This paper addresses a variant of the Job Shop Scheduling Problem with makespan minimisation where uncertainty in task durations is taken into...
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The Analysis of Hybrid Brain Storm Optimisation Approaches in Feature Selection
The volume of data available has risen significantly in recent years due to advancements in data gathering techniques in different fields. The...
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Interactive Stage-Wise Optimisation of Personalised Medicine Supply Chains
Personalised medicine (PM) is a new area of healthcare that has shown promising results in offering treatments for rare and advanced stage diseases....
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An Analysis on Hybrid Brain Storm Optimisation Algorithms
Optimisation can be described as the process of finding optimal values for the variables of a given problem in order to minimise or maximise one or...
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Design optimisation and an experimental assessment of soft actuator for robotic gras**
Many robotic systems face substantial challenges when trying to grasp and manipulate objects. Thought of initially as humanoid automata a century...
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The Value of Knowledge: Joining Reward and Epistemic Certainty Optimisation for Anxiety-Sensitive Planning
Anxiety is one of the most basic emotional states and also the most common disorder. AI agents however are typically focused on maximising...
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An towards efficient optimal recurrent neural network-based brian tumour classification using cat and rat swarm (CARS) optimisation
A brain tumour is a lump that forms in the brain as abnormal cells multiply and spread there. The intricacy of brain tissues makes it difficult and...
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Semi-parametric Approach to Random Forests for High-Dimensional Bayesian Optimisation
Calibration of simulation models and hyperparameter optimisation of machine learning and deep learning methods are computationally demanding...
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Feature-Based Benchmarking of Distance-Based Multi/Many-objective Optimisation Problems: A Machine Learning Perspective
We consider the application of machine learning techniques to gain insights into the effect of problem features on algorithm performance, and to...
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Co-evolutionary Diversity Optimisation for the Traveling Thief Problem
Recently different evolutionary computation approaches have been developed that generate sets of high quality diverse solutions for a given...
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A Continuous Optimisation Benchmark Suite from Neural Network Regression
Designing optimisation algorithms that perform well in general requires experimentation on a range of diverse problems. Training neural networks is...
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A Hybrid Distributed EA Approach for Energy Optimisation on Smartphones
For many people, mobile platforms are now an essential part of everyday life. A defining feature of mobile platforms is their reliance on battery...
