Integrating metaheuristics and artificial intelligence for healthcare: basics, challenging and future directions

Artificial Intelligence Review, Journal Year: 2024, Volume and Issue: 57(8)

Published: July 12, 2024

Abstract Accurate and rapid disease detection is necessary to manage health problems early. Rapid increases in data amount dimensionality caused challenges many disciplines, with the primary issues being high computing costs, memory low accuracy performance. These will arise since Machine Learning (ML) classifiers are mostly used these fields. However, noisy irrelevant features have an impact on ML accuracy. Therefore, choose best subset of decrease data, Metaheuristics (MHs) optimization algorithms applied Feature Selection (FS) using various modalities medical imaging or datasets different dimensions. The review starts by giving a general overview approaches AI algorithms, followed MH for healthcare applications, analysis MHs boosted wide range research databases as source access numerous field publications. final section this discusses facing application development.

Language: Английский

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Marine diesel engine piston ring fault diagnosis based on LSTM and improved beluga whale optimization

Alexandria Engineering Journal, Journal Year: 2024, Volume and Issue: 109, P. 213 - 228

Published: Sept. 5, 2024

Language: Английский

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HAFNIA (IV) Nanowires Memristor Arrays Manufacturing Supports Artificial Vision Engineering

Algorithms for intelligent systems, Journal Year: 2025, Volume and Issue: unknown, P. 23 - 45

Published: Jan. 1, 2025

Language: Английский

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Multi-strategy improved gazelle optimization algorithm for numerical optimization and UAV path planning

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 23, 2025

The Gazelle Optimization Algorithm (GOA) is a recently proposed and widely recognized metaheuristic algorithm. However, it suffers from slow convergence, low precision, tendency to fall into local optima when addressing practical problems. To address these limitations, we propose Multi-Strategy Improved (MIGOA). Key enhancements include population initialization based on an optimal point set, tangent flight search strategy, adaptive step size factor, novel exploration strategies. These improvements collectively enhance GOA's capability, convergence speed, effectively preventing becoming trapped in optima. We evaluated MIGOA using the CEC2017 CEC2020 benchmark test sets, comparing with GOA eight other algorithms. results, validated by Wilcoxon rank-sum Friedman mean rank test, demonstrate that achieves average rankings of 1.80, 2.03, 2.70 (Dim = 30/50/100) 20), respectively, outperforming standard high-performance optimizers. Furthermore, application three-dimensional unmanned aerial vehicle (UAV) path planning problems 2 engineering optimization design further validates its potential solving constrained Experimental results consistently indicate exhibits strong scalability applicability.

Language: Английский

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Innovative Approaches for Improving Power Quality in Solar Energy Systems with DSTATCOM for Stabilising the Grid and Effectively Mitigating Harmonics

Renewable Energy, Journal Year: 2025, Volume and Issue: unknown, P. 123314 - 123314

Published: April 1, 2025

Language: Английский

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