Kepler optimization algorithm: A new metaheuristic algorithm inspired by Kepler’s laws of planetary motion

Knowledge-Based Systems, Journal Year: 2023, Volume and Issue: 268, P. 110454 - 110454

Published: March 11, 2023

Language: Английский

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Advances in Sparrow Search Algorithm: A Comprehensive Survey

Archives of Computational Methods in Engineering, Journal Year: 2022, Volume and Issue: 30(1), P. 427 - 455

Published: Aug. 22, 2022

Language: Английский

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A new human-based metaheuristic algorithm for solving optimization problems on the base of simulation of driving training process

Scientific Reports, Journal Year: 2022, Volume and Issue: 12(1)

Published: June 15, 2022

Abstract In this paper, a new stochastic optimization algorithm is introduced, called Driving Training-Based Optimization (DTBO), which mimics the human activity of driving training. The fundamental inspiration behind DTBO design learning process to drive in school and training instructor. mathematically modeled three phases: (1) by instructor, (2) patterning students from instructor skills, (3) practice. performance evaluated on set 53 standard objective functions unimodal, high-dimensional multimodal, fixed-dimensional IEEE CEC2017 test types. results show that has been able provide appropriate solutions problems maintaining proper balance between exploration exploitation. quality compared with 11 well-known algorithms. simulation performs better competitor algorithms more efficient applications.

Language: Английский

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A new bio-inspired metaheuristic algorithm for solving optimization problems based on walruses behavior

Scientific Reports, Journal Year: 2023, Volume and Issue: 13(1)

Published: May 31, 2023

This paper introduces a new bio-inspired metaheuristic algorithm called Walrus Optimization Algorithm (WaOA), which mimics walrus behaviors in nature. The fundamental inspirations employed WaOA design are the process of feeding, migrating, escaping, and fighting predators. implementation steps mathematically modeled three phases exploration, migration, exploitation. Sixty-eight standard benchmark functions consisting unimodal, high-dimensional multimodal, fixed-dimensional CEC 2015 test suite, 2017 suite to evaluate performance optimization applications. results unimodal indicate exploitation ability WaOA, multimodal exploration suites high balancing during search process. is compared with ten well-known algorithms. simulations demonstrate that due its excellent balance exploitation, capacity deliver superior for most functions, has exhibited remarkably competitive contrast other comparable In addition, use addressing four engineering issues twenty-two real-world problems from 2011 demonstrates apparent effectiveness MATLAB codes available https://uk.mathworks.com/matlabcentral/profile/authors/13903104 .

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 Improved Harris Hawks Optimization Algorithm with Multi-strategy for Community Detection in Social Network

Journal of Bionic Engineering, Journal Year: 2022, Volume and Issue: 20(3), P. 1175 - 1197

Published: Dec. 19, 2022

Language: Английский

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An Improved Tunicate Swarm Algorithm with Best-random Mutation Strategy for Global Optimization Problems

Journal of Bionic Engineering, Journal Year: 2022, Volume and Issue: 19(4), P. 1177 - 1202

Published: March 28, 2022

Language: Английский

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A Review on Constraint Handling Techniques for Population-based Algorithms: from single-objective to multi-objective optimization

Archives of Computational Methods in Engineering, Journal Year: 2022, Volume and Issue: 30(3), P. 2181 - 2209

Published: Dec. 9, 2022

Abstract Most real-world problems involve some type of optimization that are often constrained. Numerous researchers have investigated several techniques to deal with constrained single-objective and multi-objective evolutionary in many fields, including theory application. This presented study provides a novel analysis scholarly literature on constraint-handling for population-based algorithms according the most relevant journals articles. As contribution this study, paper reviews main ideas state-of-the-art constraint handling optimization, then addresses bibliometric analysis, focus multi-objective, field. The extracted papers include research articles, reviews, book/book chapters, conference published between 2000 2021 analysis. results indicate received much less attention compared optimization. promising such were determined be genetic algorithms, differential particle swarm intelligence. Additionally, “Engineering,” “Computer Science,” “ Mathematics” identified as top three fields which future work is anticipated increase.

Language: Английский

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American zebra optimization algorithm for global optimization problems

Scientific Reports, Journal Year: 2023, Volume and Issue: 13(1)

Published: March 30, 2023

Abstract A novel bio-inspired meta-heuristic algorithm, namely the American zebra optimization algorithm (AZOA), which mimics social behaviour of zebras in wild, is proposed this study. are distinguished from other mammals by their distinct and fascinating character leadership exercise, navies baby to leave herd before maturity join a separate with no family ties. This departure encourages diversification preventing intra-family mating. Moreover, convergence assured exercise zebras, directs speed direction group. lifestyle indigenous nature main inspiration for proposing AZOA algorithm. To examine efficiency CEC-2005, CEC-2017, CEC-2019 benchmark functions considered, compared several state-of-the-art algorithms. The experimental outcomes statistical analysis reveal that capable attaining optimal solutions maximum while maintaining good balance between exploration exploitation. Furthermore, numerous real-world engineering problems have been employed demonstrate robustness AZOA. Finally, it anticipated will accomplish domineeringly forthcoming advanced CEC complex problems.

Language: Английский

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Accurately and effectively predict the ACL force: Utilizing biomechanical landing pattern before and after-fatigue

Computer Methods and Programs in Biomedicine, Journal Year: 2023, Volume and Issue: 241, P. 107761 - 107761

Published: Aug. 10, 2023

Language: Английский

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