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06/16/2023
A Metaheuristic-based Machine Learning Approach for Energy Prediction in Mobile App Development
Energy consumption plays a vital role in mobile App development for deve...
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05/04/2023
A Cluster-Based Opposition Differential Evolution Algorithm Boosted by a Local Search for ECG Signal Classification
Electrocardiogram (ECG) signals are recordings of the heart's electrical...
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05/03/2023
A Novel Plagiarism Detection Approach Combining BERT-based Word Embedding, Attention-based LSTMs and an Improved Differential Evolution Algorithm
Detecting plagiarism involves finding similar items in two different sou...
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12/13/2022
Population-based JPEG Image Compression: Problem Re-Formulation
The JPEG standard is widely used in different image processing applicati...
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09/09/2022
Energy-Aware JPEG Image Compression: A Multi-Objective Approach
Customer satisfaction is crucially affected by energy consumption in mob...
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03/22/2022
Machine Learning Testing in an ADAS Case Study Using Simulation-Integrated Bio-Inspired Search-Based Testing
This paper presents an extended version of Deeper, a search-based simula...
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11/20/2021
MCS-HMS: A Multi-Cluster Selection Strategy for the Human Mental Search Algorithm
Population-based metaheuristic algorithms have received significant atte...
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11/19/2021
HMS-OS: Improving the Human Mental Search Optimisation Algorithm by Grouping in both Search and Objective Space
The human mental search (HMS) algorithm is a relatively recent populatio...
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10/17/2021
An LSTM-based Plagiarism Detection via Attention Mechanism and a Population-based Approach for Pre-Training Parameters with imbalanced Classes
Plagiarism is one of the leading problems in academic and industrial env...
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09/20/2021
An Enhanced Differential Evolution Algorithm Using a Novel Clustering-based Mutation Operator
Differential evolution (DE) is an effective population-based metaheurist...
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06/29/2021
Differential Evolution-based Neural Network Training Incorporating a Centroid-based Strategy and Dynamic Opposition-based Learning
Training multi-layer neural networks (MLNNs), a challenging task, involv...
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03/07/2020
