Recent applications and advances of African Vultures Optimization Algorithm

Artificial Intelligence Review, Journal Year: 2024, Volume and Issue: 57(12)

Published: Oct. 17, 2024

Language: Английский

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Causality-driven sequence segmentation assisted soft sensing for multiphase industrial processes

Neurocomputing, Journal Year: 2025, Volume and Issue: unknown, P. 129612 - 129612

Published: Feb. 1, 2025

Language: Английский

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A new metaheuristic algorithm for solving multi-objective single-machine scheduling problems

Journal of Intelligent Systems, Journal Year: 2025, Volume and Issue: 34(1)

Published: Jan. 1, 2025

Abstract Multi-objective scheduling problems are inherently complex due to the need balance competing objectives, such as minimizing total weighted completion time, reducing number of delayed jobs, and maximum delay. To address these challenges, this article introduces meerkat clan algorithm (MCA), inspired by dynamic, cooperative, adaptive behaviors meerkats, which enhances exploration exploitation solution spaces. The MCA is further integrated with traditional branch-and-bound (BAB) method, utilizing it an upper bound significantly improve accuracy efficiency solutions. Comprehensive computational experiments were conducted evaluate MCA’s performance against state-of-the-art algorithms, including bald eagle search optimization (BESOA) standalone BAB method. demonstrated superior scalability efficiency, effectively solving involving up n = 30,000 whereas BESOA was limited handling instances 1,000 jobs. Additionally, integration method achieved exceptional precision for smaller problem instances, 13 jobs effectively. results underscore algorithm’s potential a robust multi-objective problems, combining speed outperform methods. Moreover, hybrid approach integrating provides flexible versatile framework capable addressing wide range scenarios, from small-scale large-scale applications. These findings position transformative tool in both theoretical practical domains.

Language: Английский

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Atom Search Optimization: a comprehensive review of its variants, applications, and future directions

PeerJ Computer Science, Journal Year: 2025, Volume and Issue: 11, P. e2722 - e2722

Published: Feb. 28, 2025

The Atom Search Optimization (ASO) algorithm is a recent advancement in metaheuristic optimization inspired by principles of molecular dynamics. It mathematically models and simulates the natural behavior atoms, with interactions governed forces derived from Lennard-Jones potential constraint based on bond-length potentials. Since its inception 2019, it has been successfully applied to various challenges across diverse fields technology science. Despite notable achievements rapidly growing body literature ASO domain, comprehensive study evaluating success implementations still lacking. To address this gap, article provides thorough review half decade advancements research, synthesizing wide range studies highlight key variants, their foundational principles, significant achievements. examines applications, including single- multi-objective problems, introduces well-structured taxonomy guide future exploration ASO-related research. reviewed reveals that several variants algorithm, modifications, hybridizations, implementations, have developed tackle complex problems. Moreover, effectively domains, such as engineering, healthcare medical Internet Things communication, clustering data mining, environmental modeling, security, engineering emerging most prevalent application area. By addressing common researchers face selecting appropriate algorithms for real-world valuable insights into practical applications offers guidance designing tailored specific

Language: Английский

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A survey of Beluga whale optimization and its variants: Statistical analysis, advances, and structural reviewing

Computer Science Review, Journal Year: 2025, Volume and Issue: 57, P. 100740 - 100740

Published: March 3, 2025

Language: Английский

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Nonlinear Marine Predator Algorithm for Robust Identification of Fractional Hammerstein Nonlinear Model under Impulsive Noise with Application to Heat Exchanger System

Communications in Nonlinear Science and Numerical Simulation, Journal Year: 2025, Volume and Issue: unknown, P. 108809 - 108809

Published: March 1, 2025

Language: Английский

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Breast cancer prediction with feature-selected XGB classifier, optimized by metaheuristic algorithms

Journal Of Big Data, Journal Year: 2025, Volume and Issue: 12(1)

Published: April 1, 2025

Language: Английский

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2D-Variation convolution-based generative adversarial network for unsupervised time series anomaly detection: a MSTL enhanced data preprocessing approach

Applied Intelligence, Journal Year: 2025, Volume and Issue: 55(7)

Published: April 9, 2025

Language: Английский

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Deep Recurrent Neural Network with Fractional Addax Optimization Algorithm for Influenza Virus Host Prediction

MethodsX, Journal Year: 2025, Volume and Issue: unknown, P. 103319 - 103319

Published: April 1, 2025

Language: Английский

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Transformer fault diagnosis using machine learning: a method combining SHAP feature selection and intelligent optimization of LGBM

Energy Informatics, Journal Year: 2025, Volume and Issue: 8(1)

Published: April 22, 2025

Language: Английский

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