Slime mould algorithm: a comprehensive review of recent variants and applications

International Journal of Systems Science, Journal Year: 2022, Volume and Issue: 54(1), P. 204 - 235

Published: Dec. 16, 2022

Slime Mould Algorithm (SMA) has recently received much attention from researchers because of its simple structure, excellent optimisation capabilities, and acceptable convergence in dealing with various types complex real-world problems. this study aims to retrieve, identify, summarise analyse critical studies related SMA development. Based on this, 98 SMA-related the Web Science were retrieved, selected, identified. The two main review vectors advanced versions SMAs application domains. First, we counted analysed SMAs, summarised, classified, discussed their improvement methods directions. Secondly, sort out domains role, development status, shortcomings each domain. A survey based existing literature shows that clearly outperform some established metaheuristics terms speed accuracy handling benchmark problems solving multiple realistic optimization This not only suggests possible future directions field but, due inclusion graphical tabular comparisons properties, also provides a comprehensive source information about SAMs scope adaptation for

Language: Английский

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Slime Mould Algorithm: A Comprehensive Survey of Its Variants and Applications

Archives of Computational Methods in Engineering, Journal Year: 2023, Volume and Issue: 30(4), P. 2683 - 2723

Published: Jan. 12, 2023

Language: Английский

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An effective multi-objective artificial hummingbird algorithm with dynamic elimination-based crowding distance for solving engineering design problems

Computer Methods in Applied Mechanics and Engineering, Journal Year: 2022, Volume and Issue: 398, P. 115223 - 115223

Published: June 28, 2022

Language: Английский

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Enhancing the structural performance of engineering components using the geometric mean optimizer

Materials Testing, Journal Year: 2024, Volume and Issue: 66(7), P. 1063 - 1073

Published: April 30, 2024

Abstract In this article, a newly developed optimization approach based on mathematics technique named the geometric mean algorithm is employed to address challenge of robot gripper, airplane bracket, and suspension arm automobiles, followed by an additional three engineering problems. Accordingly, other challenges are ten-bar truss, three-bar tubular column, spring systems. As result, demonstrates promising statistical outcomes when compared well-established algorithms. Additionally, it requires less iteration achieve global optimum solution. Furthermore, exhibits minimal deviations in results, even techniques produce better or similar outcomes. This suggests that proposed paper can be effectively utilized for wide range critical industrial real-world challenges.

Language: Английский

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Nature-inspired optimization algorithms and their significance in multi-thresholding image segmentation: an inclusive review

Evolving Systems, Journal Year: 2022, Volume and Issue: 13(6), P. 889 - 945

Published: Feb. 21, 2022

Language: Английский

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Multi-objective equilibrium optimizer slime mould algorithm and its application in solving engineering problems

Structural and Multidisciplinary Optimization, Journal Year: 2023, Volume and Issue: 66(5)

Published: April 24, 2023

Language: Английский

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Artificial Afterimage Algorithm: A New Bio-Inspired Metaheuristic Algorithm and Its Clustering Application

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(3), P. 1359 - 1359

Published: Jan. 28, 2025

Metaheuristic methods are optimization that look for different ways to converge a solution problem where it is difficult find analytically. Their difference from known they imitate living things or systems in nature. Each metaheuristic method has its equations, and the found using these equations. In this study, new, called afterimage algorithm proposed. The proposed was developed inspired by fact when we close our eyes after looking at luminous image while, vision still occurs minds. This an afterimage. first pre-processes with operator calculates best worst values. visual angle value then calculated, new solutions produced around value. Three datasets were used experimental studies on data clustering. Accuracies of 96.66% iris plant dataset, 92% Wisconsin breast cancer 95% occupancy detection dataset obtained.

Language: Английский

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Recent Developments in Equilibrium Optimizer Algorithm: Its Variants and Applications

Archives of Computational Methods in Engineering, Journal Year: 2023, Volume and Issue: 30(6), P. 3791 - 3844

Published: April 12, 2023

Language: Английский

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Multi-strategy boosted Aquila optimizer for function optimization and engineering design problems

Cluster Computing, Journal Year: 2024, Volume and Issue: 27(6), P. 7147 - 7198

Published: March 14, 2024

Language: Английский

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Enhanced gorilla troops optimizer powered by marine predator algorithm: global optimization and engineering design

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: April 1, 2024

Abstract This study presents an advanced metaheuristic approach termed the Enhanced Gorilla Troops Optimizer (EGTO), which builds upon Marine Predators Algorithm (MPA) to enhance search capabilities of (GTO). Like numerous other algorithms, GTO encounters difficulties in preserving convergence accuracy and stability, notably when tackling intricate adaptable optimization problems, especially compared more techniques. Addressing these challenges aiming for improved performance, this paper proposes EGTO, integrating high low-velocity ratios inspired by MPA. The EGTO technique effectively balances exploration exploitation phases, achieving impressive results utilizing fewer parameters operations. Evaluation on a diverse array benchmark functions, comprising 23 established functions ten complex ones from CEC2019 benchmark, highlights its performance. Comparative analysis against techniques reveals EGTO's superiority, consistently outperforming counterparts such as tuna swarm optimization, grey wolf optimizer, gradient based artificial rabbits algorithm, pelican Runge Kutta algorithm (RUN), original algorithms across various test functions. Furthermore, efficacy extends addressing seven challenging engineering design encompassing three-bar truss design, compression spring pressure vessel cantilever beam welded speed reducer gear train design. showcase robust rate, adeptness locating local/global optima, supremacy over alternative methodologies explored.

Language: Английский

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