A survey of Beluga whale optimization and its variants: Statistical analysis, advances, and structural reviewing

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

Опубликована: Март 3, 2025

Язык: Английский

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

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

Опубликована: Март 1, 2025

Язык: Английский

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A new intelligent control strategy for CSTH temperature regulation based on the starfish optimization algorithm

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

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Sturnus vulgaris escape algorithm and its application to mechanical design

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

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

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

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An Innovative Differentiated Creative Search Based on Collaborative Development and Population Evaluation

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

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Study on the Correlation Between Major Medicinal Constituents of Codonopsis pilosula During Its Growth Cycle and Ecological Factors, and Determination of Optimal Ecological Factor Ranges

Agronomy, Год журнала: 2025, Номер 15(5), С. 1057 - 1057

Опубликована: Апрель 27, 2025

The quality of medicinal plants is closely related to the ecological factors their growing environment, as efficacy reflected in content key components, which turn indicates plants. This study measured daily variations major constituents, including lobetyolin, polysaccharides, and total flavonoids, Codonopsis pilosula (Franch.) Nannf., Changzhi Jincheng regions Shanxi Province, China known Lu Tangshen. Throughout its growth cycle. Additionally, explored effects 11 (both climatic soil variables) on primary components C. pilosula. Through block experiments comparisons between future data predictions actual measurements, reliability model consistency experimental were ultimately confirmed. Principal component analysis (PCA), stepwise multiple linear regression analysis, nonlinear polynomial modeling employed investigate relationships quality-related constituents (polysaccharides, lobetyolin). results showed that models effectively explained temperature (DT) with an adjusted R2 exceeding 0.8, but due inherently nature data, it evident are fundamentally inadequate for accurately capturing underlying relationships. Therefore, fit flavonoids lobetyolin was suboptimal. introduction (second-, fourth-, fifth-order) significantly improved fit, indicating existence complex components. For fourth-order demonstrated best performance, while fifth-order required adequately describe lobetyolin. Based models, optimal ranges identified: polysaccharides influenced by atmospheric pressure (AP) 9.1 9.3 kPa, air relative humidity (ARH) 30% 60%, 40 cm mean annual (40cmMAT) 27.5 °C 28.5 °C, pH 9.68 9.72, nitrogen (N) 7 9 mg/kg. narrow observed temperature, humidity, (MAT 10 15 40cmMAT 9.72). Lobetyolin conditions at AP 28.0 ARH 65% 75%, near 9.70, days after planting (DAP) 50. adoption higher-order clarified critical inflection points ranges, providing a refined reference enhancing These findings offer valuable insights precision cultivation strategies aimed improving

Язык: Английский

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Magnetic targets positioning method based on multi-strategy improved Grey Wolf optimizer

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

Опубликована: Май 2, 2025

Magnetic target state estimation is a widely applied technology, but it also faces many challenges in practical applications. One of the most critical issue accuracy. The Grey Wolf Optimizer (GWO) one more successful swarm intelligence algorithms recent years, its shortcomings have been exposed when facing increasingly complex problems. Therefore, Multi-Strategy Improved (MSIGWO) algorithm has proposed to enhance accuracy magnetic estimation. In initialization phase, Tent chaos mapping introduced population diversity, prevent falling into local optima, and improve convergence speed. Multi-population fusion evolution strategies accuracy, global search ability. Nonlinear factors better balance exploration exploitation behaviors. Dynamic weight increase diversity samples reduce likelihood optima. Adaptive dimensional learning balances searches, enhancing diversity. Levy flight enhances ability jump out optima ensures CEC2018 benchmark function set 29 problems problems, MSIGWO was tested, statistical indicators Friedman test results show that compared with GWO advanced variants, superior performance. application this proven effectiveness applicability.

Язык: Английский

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Exponential-trigonometric optimization algorithm with multi-strategy fusion for UAV three-dimensional path planning

The Journal of Supercomputing, Год журнала: 2025, Номер 81(7)

Опубликована: Май 4, 2025

Язык: Английский

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Optimization of Flight Scheduling in Urban Air Mobility Considering Spatiotemporal Uncertainties

Aerospace, Год журнала: 2025, Номер 12(5), С. 413 - 413

Опубликована: Май 7, 2025

The vigorous development of urban air mobility (UAM) is reshaping the travel landscape, but it also poses severe challenges to safe and efficient operation dense complex airspace. Potential conflicts between flight plans have become a core bottleneck restricting its development. Traditional plan adjustment management methods often rely on deterministic trajectory predictions, ignoring inherent temporal uncertainties in actual operations, which may lead underestimation potential risks. Meanwhile, existing global optimization strategies face issues inefficiency overly broad scopes when dealing with large-scale conflicts. To address these challenges, this study proposes an innovative conflict framework. First, by introducing probabilistic model time errors, new detection mechanism based confidence intervals constructed, significantly enhancing ability foresee non-obvious Furthermore, network theory, framework accurately identifies small number “critical plans” that play role network, revealing their key impact chain reactions On basis, phased strategy adopted, prioritizing spatiotemporal parameters (departure speed) for critical systematically resolve most Subsequently, only fine-tuning speeds non-critical required remaining local conflicts, thereby minimizing interference overall operational order. Simulation results demonstrate not improves comprehensiveness effectively reduces total Additionally, proposed artificial lemming algorithm (ALA) outperforms traditional algorithms terms solution quality. This work provides important theoretical foundation practically valuable developing robust UAM dynamic scheduling systems, holding promise support orderly traffic future.

Язык: Английский

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