An Innovative Differentiated Creative Search Based on Collaborative Development and Population Evaluation DOI Creative Commons
Xinyu Cai, Chaoyong Zhang

Biomimetics, Год журнала: 2025, Номер 10(5), С. 260 - 260

Опубликована: Апрель 23, 2025

In real-world applications, many complex problems can be formulated as mathematical optimization challenges, and efficiently solving these is critical. Metaheuristic algorithms have proven highly effective in addressing a wide range of engineering issues. The differentiated creative search recently proposed evolution-based meta-heuristic algorithm with certain advantages. However, it also has limitations, including weakened population diversity, reduced efficiency, hindrance comprehensive exploration the solution space. To address shortcomings DCS algorithm, this paper proposes multi-strategy (MSDCS) based on collaborative development mechanism evaluation strategy. First, that organically integrates estimation distribution to compensate for algorithm’s insufficient ability its tendency fall into local optimums through guiding effect dominant populations, improve quality efficiency at same time. Secondly, new strategy realize coordinated transition between exploitation fitness distance. Finally, linear size reduction incorporated DCS, which significantly improves overall performance by maintaining large initial stage enhance capability extensive space, then gradually decreasing later capability. A series validations was conducted CEC2018 test set, experimental results were analyzed using Friedman Wilcoxon rank sum test. show superior MSDCS terms convergence speed, stability, global optimization. addition, successfully applied several constrained problems. all cases, outperforms basic fast strong robustness, emphasizing efficacy practical applications.

Язык: Английский

Sturnus vulgaris escape algorithm and its application to mechanical design DOI Creative Commons

Y. G. Liu,

Yaping Fan,

Jiaxing Ma

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Фев. 24, 2025

Practical engineering optimization problems are characterized by high dimensionality, non-convexity, and non-linearity, the use of optimizers to provide better quality solutions target problem in an acceptable time is a hot research topic field optimal design. In this paper, inspired Sturnus vulgaris escape behavior, Vulgaris Escape Algorithm (SVEA) proposed high-performance optimizer for complex problems. The algorithm composed exploration exploitation strategies, controlled fixed parameters. strategies include High-Altitude Strategy Wave 1, while consist Cordon Line 2. enhances capabilities reorganizing subgroups, preventing leader individuals from overlapping, avoiding collisions between individuals. conducts refined searches around high-value regions, further improving precision. Strategies 1 2 help population local optima prevent over-spreading. performance SVEA evaluated through employment 23 benchmark test functions CEC2017 set, with subsequent comparison undertaken nine statE − of-thE art meta-heuristic algorithms. outcomes evaluation demonstrate that attains top ranking identified as best-performing across all sets. A statistical analysis reveals solution set exhibits superior other algorithms, discrepancy being deemed be statistically significant. Finally, applied five real-world problems, providing satisfying constraints.

Язык: Английский

Процитировано

0
A survey of Beluga whale optimization and its variants: Statistical analysis, advances, and structural reviewing DOI
Sang-Woong Lee, Amir Haider, Amir Masoud Rahmani

и другие.

Computer Science Review, Год журнала: 2025, Номер 57, С. 100740 - 100740

Опубликована: Март 3, 2025

Язык: Английский

Процитировано

0
EPKO: Enhanced pied kingfisher optimizer for numerical optimization and engineering problems DOI

Benfeng Hu,

Xiaoliang Zheng, Wenhao Lai

и другие.

Expert Systems with Applications, Год журнала: 2025, Номер unknown, С. 127416 - 127416

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0
A new intelligent control strategy for CSTH temperature regulation based on the starfish optimization algorithm DOI Creative Commons
Davut İzci, Serdar Ekinci, Mostafa Jabari

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Апрель 10, 2025

Temperature regulation in nonlinear and highly dynamic processes such as the continuous stirred-tank heater (CSTH) is a challenging task due to inherent system nonlinearities disturbances. This study proposes novel metaheuristic-driven control strategy, combining two degrees of freedom-PID acceleration (2DOF-PIDA) controller with recently developed starfish optimization algorithm (SFOA) for temperature CSTH process. The 2DOF-PIDA enhances performance by decoupling setpoint tracking disturbance rejection, while SFOA ensures optimal tuning parameters leveraging its powerful exploration exploitation capabilities. Simulation results validate effectiveness proposed approach, demonstrating improved accuracy, robustness compared conventional methods. combination provides flexible efficient solution controlling systems, significant implications industrial applications.

Язык: Английский

Процитировано

0
A Novel Method for Inverting Deep-Sea Sound-Speed Profiles Based on Hybrid Data Fusion Combined with Surface Sound Speed DOI Creative Commons

Qianru Yuan,

Weiming Xu,

Shaohua Jin

и другие.

Journal of Marine Science and Engineering, Год журнала: 2025, Номер 13(4), С. 787 - 787

Опубликована: Апрель 15, 2025

Sound speed profiles (SSPs) must be detected simultaneously to perform a multibeam depth survey. Accurate real-time sound profile (SSP) acquisition remains critical challenge in deep-sea bathymetry due the limitations regarding direct measurements under harsh operational conditions. To address issue, we propose joint inversion framework integrating World Ocean Atlas 2023 (WOA23) temperature–salinity model data, historical situ SSPs, and surface measurements. By constructing high-resolution regional field through WOA23 SSP fusion, this method effectively mitigates spatiotemporal heterogeneity seasonal variability. The artificial lemming algorithm (ALA) is introduced optimize of empirical orthogonal function (EOF) coefficients, enhancing global search efficiency while avoiding local optimization. An experimental validation northwest Pacific demonstrated that proposed has better performance than conventional substitution, interpolation, WOA23-only approaches. results indicate mean absolute error (MAE), root square (RMSE), maximum (ME) reconstruction are reduced by 41.5%, 46.0%, 49.4%, respectively. When reconstructed SSPs applied bathymetric correction, errors further 0.193 m 0.213 0.394 (ME), suppressing “smiley face” distortion caused gradient anomalies. dynamic selection first six EOF modes balances computational fidelity. This study provides robust solution for estimation data-scarce environments, particularly underwater autonomous vehicles. seabed missing significantly accuracy surveys.

Язык: Английский

Процитировано

0
An Innovative Differentiated Creative Search Based on Collaborative Development and Population Evaluation DOI Creative Commons
Xinyu Cai, Chaoyong Zhang

Biomimetics, Год журнала: 2025, Номер 10(5), С. 260 - 260

Опубликована: Апрель 23, 2025

In real-world applications, many complex problems can be formulated as mathematical optimization challenges, and efficiently solving these is critical. Metaheuristic algorithms have proven highly effective in addressing a wide range of engineering issues. The differentiated creative search recently proposed evolution-based meta-heuristic algorithm with certain advantages. However, it also has limitations, including weakened population diversity, reduced efficiency, hindrance comprehensive exploration the solution space. To address shortcomings DCS algorithm, this paper proposes multi-strategy (MSDCS) based on collaborative development mechanism evaluation strategy. First, that organically integrates estimation distribution to compensate for algorithm’s insufficient ability its tendency fall into local optimums through guiding effect dominant populations, improve quality efficiency at same time. Secondly, new strategy realize coordinated transition between exploitation fitness distance. Finally, linear size reduction incorporated DCS, which significantly improves overall performance by maintaining large initial stage enhance capability extensive space, then gradually decreasing later capability. A series validations was conducted CEC2018 test set, experimental results were analyzed using Friedman Wilcoxon rank sum test. show superior MSDCS terms convergence speed, stability, global optimization. addition, successfully applied several constrained problems. all cases, outperforms basic fast strong robustness, emphasizing efficacy practical applications.

Язык: Английский

Процитировано

0