Advances in Engineering Software, Год журнала: 2024, Номер 194, С. 103665 - 103665
Опубликована: Май 15, 2024
Язык: Английский
IEEE Access, Год журнала: 2022, Номер 10, С. 49445 - 49473
Опубликована: Янв. 1, 2022
In this paper, a new bio-inspired metaheuristic algorithm called Zebra Optimization Algorithm (ZOA) is developed; its fundamental inspiration the behavior of zebras in nature. ZOA simulates foraging and their defense strategy against predators' attacks. The steps are described then mathematically modeled. performance optimization evaluated on sixty-eight benchmark functions, including unimodal, high-dimensional multimodal, fixed-dimensional CEC2015, CEC2017. results obtained from compared with nine well-known algorithms. simulation show that can solve problems by creating suitable balance between exploration exploitation has superior to competitor ZOA's ability real-world been tested four engineering design problems, namely, tension/compression spring, welded beam, speed reducer, pressure vessel. an effective optimizer determining values variables these
Язык: Английский
Процитировано
246
Archives of Computational Methods in Engineering, Год журнала: 2022, Номер 30(1), С. 427 - 455
Опубликована: Авг. 22, 2022
Язык: Английский
Процитировано
227
Artificial Intelligence Review, Год журнала: 2022, Номер 56(6), С. 5479 - 5543
Опубликована: Ноя. 2, 2022
Язык: Английский
Процитировано
134
Archives of Computational Methods in Engineering, Год журнала: 2023, Номер 30(7), С. 4113 - 4159
Опубликована: Май 27, 2023
Язык: Английский
Процитировано
121
Archives of Computational Methods in Engineering, Год журнала: 2023, Номер 30(4), С. 2683 - 2723
Опубликована: Янв. 12, 2023
Язык: Английский
Процитировано
110
Multimedia Tools and Applications, Год журнала: 2023, Номер 83(6), С. 16929 - 16975
Опубликована: Июль 19, 2023
Язык: Английский
Процитировано
101
Expert Systems with Applications, Год журнала: 2022, Номер 198, С. 116895 - 116895
Опубликована: Март 17, 2022
Язык: Английский
Процитировано
94
Processes, Год журнала: 2023, Номер 11(5), С. 1502 - 1502
Опубликована: Май 15, 2023
Attempting to address optimization problems in various scientific disciplines is a fundamental and significant difficulty requiring optimization. This study presents the waterwheel plant technique (WWPA), novel stochastic motivated by natural systems. The proposed WWPA’s basic concept based on modeling plant’s behavior while hunting expedition. To find prey, WWPA uses plants as search agents. We present mathematical model for use addressing problems. Twenty-three objective functions of varying unimodal multimodal types were used assess performance. results optimizing demonstrate strong exploitation ability get close optimal solution, show exploration zero major region space. Three engineering design also gauge potential improving practical programs. effectiveness was evaluated comparing its with those seven widely metaheuristic algorithms. When compared eight competing algorithms, simulation analyses that outperformed them finding more proportionate balance between exploitation.
Язык: Английский
Процитировано
61
IEEE Access, Год журнала: 2023, Номер 12, С. 22991 - 23028
Опубликована: Авг. 14, 2023
The Grey Wolf Optimizer (GWO) has emerged as one of the most captivating swarm intelligence methods, drawing inspiration from hunting behavior wolf packs. GWO's appeal lies in its remarkable characteristics: it is parameter-free, derivative-free, conceptually simple, user-friendly, adaptable, flexible, and robust. Its efficacy been demonstrated across a wide range optimization problems diverse domains, including engineering, bioinformatics, biomedical, scheduling planning, business. Given substantial growth effectiveness GWO, essential to conduct recent review provide updated insights. This delves into GWO-related research conducted between 2019 2022, encompassing over 200 articles. It explores GWO terms publications, citations, domains that leverage potential. thoroughly examines latest versions categorizing them based on their contributions. Additionally, highlights primary applications with computer science engineering emerging dominant domains. A critical analysis accomplishments limitations presented, offering valuable Finally, concludes brief summary outlines potential future developments theory applications. Researchers seeking employ problem-solving tool will find this comprehensive immensely beneficial advancing endeavors.
Язык: Английский
Процитировано
58
Mathematics, Год журнала: 2023, Номер 11(8), С. 1898 - 1898
Опубликована: Апрель 17, 2023
In this research, the effectiveness of a novel optimizer dubbed as decomposition-based multi-objective symbiotic organism search (MOSOS/D) for problems was explored. The proposed based on organisms’ (SOS), which is star-rising metaheuristic inspired by natural phenomenon symbioses among living organisms. A decomposition framework incorporated in SOS stagnation prevention and its deep performance analysis real-world applications. investigation included both qualitative quantitative analyses MOSOS/D metaheuristic. For analysis, statistically examined using it to solve unconstrained DTLZ test suite real-parameter continuous optimizations. Next, two constrained structural benchmarks optimization scenario were also tackled. performed characteristics Pareto fronts, boxplots, dimension curves. To check robustness optimizer, comparative carried out with four state-of-the-art optimizers, viz., MOEA/D, NSGA-II, MOMPA MOEO, grounded six widely accepted measures. feasibility Friedman’s rank demonstrates dominance over other compared techniques exhibited solving large complex problems.
Язык: Английский
Процитировано
45