Optimizing Task Offloading with Metaheuristic Algorithms Across Cloud, Fog, and Edge Computing Networks: A Comprehensive Survey and State-of-the-Art Schemes

Sustainable Computing Informatics and Systems, Journal Year: 2025, Volume and Issue: unknown, P. 101080 - 101080

Published: Jan. 1, 2025

Language: Английский

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Lyrebird Optimization Algorithm: A New Bio-Inspired Metaheuristic Algorithm for Solving Optimization Problems

Biomimetics, Journal Year: 2023, Volume and Issue: 8(6), P. 507 - 507

Published: Oct. 23, 2023

In this paper, a new bio-inspired metaheuristic algorithm called the Lyrebird Optimization Algorithm (LOA) that imitates natural behavior of lyrebirds in wild is introduced. The fundamental inspiration LOA strategy when faced with danger. situation, scan their surroundings carefully, then either run away or hide somewhere, immobile. theory described and mathematically modeled two phases: (i) exploration based on simulation lyrebird escape (ii) exploitation hiding strategy. performance was evaluated optimization CEC 2017 test suite for problem dimensions equal to 10, 30, 50, 100. results show proposed approach has high ability terms exploration, exploitation, balancing them during search process problem-solving space. order evaluate capability dealing tasks, obtained from were compared twelve well-known algorithms. superior competitor algorithms by providing better most benchmark functions, achieving rank first best optimizer. A statistical analysis shows significant superiority comparison addition, efficiency handling real-world applications investigated through twenty-two constrained problems 2011 four engineering design problems. effective tasks while

Language: Английский

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A Comprehensive Review of Bio-Inspired Optimization Algorithms Including Applications in Microelectronics and Nanophotonics

Biomimetics, Journal Year: 2023, Volume and Issue: 8(3), P. 278 - 278

Published: June 28, 2023

The application of artificial intelligence in everyday life is becoming all-pervasive and unavoidable. Within that vast field, a special place belongs to biomimetic/bio-inspired algorithms for multiparameter optimization, which find their use large number areas. Novel methods advances are being published at an accelerated pace. Because that, spite the fact there lot surveys reviews they quickly become dated. Thus, it importance keep pace with current developments. In this review, we first consider possible classification bio-inspired optimization because papers dedicated area relatively scarce often contradictory. We proceed by describing some detail more prominent approaches, as well those most recently published. Finally, biomimetic two related wide fields, namely microelectronics (including circuit design optimization) nanophotonics inverse structures such photonic crystals, nanoplasmonic configurations metamaterials). attempted broad survey self-contained so can be not only scholars but also all interested latest developments attractive area.

Language: Английский

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An adaptive hybrid mutated differential evolution feature selection method for low and high-dimensional medical datasets

Knowledge-Based Systems, Journal Year: 2023, Volume and Issue: 283, P. 111218 - 111218

Published: Nov. 21, 2023

Language: Английский

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Semi-supervised feature selection by minimum neighborhood redundancy and maximum neighborhood relevancy

Applied Intelligence, Journal Year: 2024, Volume and Issue: 54(17-18), P. 7750 - 7764

Published: June 13, 2024

Language: Английский

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An improved Genghis Khan optimizer based on enhanced solution quality strategy for global optimization and feature selection problems

Knowledge-Based Systems, Journal Year: 2024, Volume and Issue: 302, P. 112347 - 112347

Published: Aug. 5, 2024

Language: Английский

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The power of deep learning in simplifying feature selection for hepatocellular carcinoma: a review

BMC Medical Informatics and Decision Making, Journal Year: 2024, Volume and Issue: 24(1)

Published: Oct. 4, 2024

Language: Английский

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A Comprehensive Survey on Feature Selection with Grasshopper Optimization Algorithm

Neural Processing Letters, Journal Year: 2024, Volume and Issue: 56(1)

Published: Feb. 12, 2024

Abstract Recent growth in data dimensions presents challenges to mining and machine learning. A high-dimensional dataset consists of several features. Data may include irrelevant or additional By removing these redundant unwanted features, the can be reduced. The feature selection process eliminates a small set relevant important features from large set, reducing size dataset. Multiple optimization problems solved using metaheuristic algorithms. Recently, Grasshopper Optimization Algorithm (GOA) has attracted attention researchers as swarm intelligence algorithm based on metaheuristics. An extensive review papers GOA-based algorithms years 2018–2023 is presented research area GOA. comparison methods presented, along with evaluation strategies simulation environments this paper. Furthermore, study summarizes classifies GOA areas. Although many have introduced their novelty problem, open enhancements remain. survey concludes discussion about some that require further attention.

Language: Английский

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Information gain-based multi-objective evolutionary algorithm for feature selection

Information Sciences, Journal Year: 2024, Volume and Issue: 677, P. 120901 - 120901

Published: June 7, 2024

Language: Английский

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V-shaped and S-shaped binary artificial protozoa optimizer (APO) algorithm for wrapper feature selection on biological data

Cluster Computing, Journal Year: 2025, Volume and Issue: 28(3)

Published: Jan. 21, 2025

Language: Английский

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