TRAA: a two-risk archive algorithm for expensive many-objective optimization DOI Creative Commons
Ji Lin,

Quanliang Liu

Complex & Intelligent Systems, Journal Year: 2024, Volume and Issue: 10(5), P. 7349 - 7371

Published: July 15, 2024

Abstract Many engineering problems are essentially expensive multi-/many-objective optimization problems, and surrogate-assisted evolutionary algorithms have gained widespread attention in dealing with them. As the objective dimension increases, error of predicting solutions based on surrogate models accumulates. Existing do not strong selection pressure candidate solution obtaining adaptive sampling stages. These make effectiveness area application unsatisfactory. Therefore, this paper proposes a two-risk archive algorithm, which contains strategy for mining high-risk low-risk archives four-state criterion. In stage, two types Kriging trained, then conservative non-conservative constructed model searching, followed by to obtain more reliable archives. order improve performance algorithms, proposed criterion considers environmental assessment, demand sampling, where approach involves improvement comprehensive environments, convergence diversity controversial uncertainty. Experimental results numerous benchmark show that algorithm is far superior seven state-of-the-art terms performance.

Language: Английский

An overview of the magnetic field effect on heat transfer and entropy generation in cavities: Application of the second law of thermodynamics and artificial intelligence DOI
Morteza Bayareh, Mohammadreza Baghoolizadeh

International Communications in Heat and Mass Transfer, Journal Year: 2024, Volume and Issue: 151, P. 107238 - 107238

Published: Jan. 14, 2024

Language: Английский

Citations

20
Using of artificial neural networks and different evolutionary algorithms to predict the viscosity and thermal conductivity of silica-alumina-MWCN/water nanofluid DOI Creative Commons
Mohammadreza Baghoolizadeh, Dheyaa J. Jasim, S. Mohammad Sajadi

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(4), P. e26279 - e26279

Published: Feb. 1, 2024

This study predicts the parameters such as viscosity and thermal conductivity in silica-alumina-MWCN/water nanofluid using artificial intelligence method design variables solid volume fraction temperature. In this study, 6 optimization algorithms were used to predict numerically model μ

Language: Английский

Citations

19
Multi-objective optimization of rheological behavior of nanofluids containing CuO nanoparticles by NSGA II, MOPSO, and MOGWO evolutionary algorithms and group method of data handling artificial neural networks DOI
Reza Rostamzadeh‐Renani, Dheyaa J. Jasim, Mohammadreza Baghoolizadeh

et al.

Materials Today Communications, Journal Year: 2023, Volume and Issue: 38, P. 107709 - 107709

Published: Nov. 29, 2023

Language: Английский

Citations

24
Multi-objective optimization of daylight illuminance indicators and energy usage intensity for office space in Tehran by genetic algorithm DOI Creative Commons
Mohammad Hakimazari, Mohammadreza Baghoolizadeh, S. Mohammad Sajadi

et al.

Energy Reports, Journal Year: 2024, Volume and Issue: 11, P. 3283 - 3306

Published: March 11, 2024

One of the important categories in office spaces is control daylight and energy consumption. By controlling natural light, it possible to provide uniform light entire space, sufficient daylight, visual comfort for workers. In many cases, this issue can be resolved by choosing right shading. study, aim investigate significance some parameters such as DoS (Depth Shading), FO (Facade Offset), FSoS (Flip Start LoS (Location WWR (Window Wall Ratio), CoS (Count AoS (Angle HoW (Height Window) optimal design shading an environment Tehran. For purpose, eight variables have been designed improve indicators Energy Usage Intensity (EUI), Spatial Daylight Autonomy(sDA), Glare Probability (DGP), Tc (Thermal comfort) space. optimization grasshopper environment, Wallacei's algorithm was used. Then, provides a set points. Then point selected WSM (Weighted Sum Method) method. According input that are DoS, FO, FSoS, LoS, WWR, CoS, AoS, its values 0.4, 0, Up, Horizontal, 80, 5, 30, 0.5, respectively. The results show sDA, DGP, EUI, were improved 43.6%, 52.77%, 13.9, 3.696%, respectively, before after optimization. Also, annual glare hottest coldest day year checked where there around 500(cd/m2) 200(cd/m2) reduction value winter summer seasons, Finally, Useful Illuminance (UDI)before installation 25.8 68.4,

Language: Английский

Citations

17
A multi-objective and CFD based optimization of roof-flap geometry and position for simultaneous drag and lift reduction DOI Creative Commons
Mohammad Rostamzadeh‐Renani, Mohammadreza Baghoolizadeh, S. Mohammad Sajadi

et al.

Propulsion and Power Research, Journal Year: 2024, Volume and Issue: 13(1), P. 26 - 45

Published: March 1, 2024

As the transport sector is responsible for consumption of a vast proportion oil produced, it mandatory to research feasible solutions tackle this issue. The application aerodynamic attachments passive flow control and reducing resisting forces such as drag lift one most practicable ways minimize vehicle energy consumption. flaps are innovative that can enhance motion in boundary layer at trailing edge wings. In present paper, flap designed modeled controlling airflow roof-end 2D Ahmed body model, inspired by schematic wing. result, flap's geometry position from car model parameterized, which leads having four design variables. objective functions study vehicle's coefficient coefficient. 25 Design Experiment (DOE) points considered enabling Box-Behnken method. Then, each DOE point computational domain, flow-field around simulated using Ansys Fluent software. results obtained employed different regressors, relation between variables extracted GMDH-ANN. GMDH-ANN then coupled with three types optimization algorithms, among Genetic algorithm proves have ideal coupling process optimization. Finally, after analyzing variations roof roof-end, roof-flap specifications L = 0.1726 m, α 5.0875°, H 0.0188 d 0.241 m optimize coefficients 21.27% 19.91%, respectively. discusses opportunities challenges optimal its influence on performance.

Language: Английский

Citations

14
Innovations in Wind Turbine Blade Engineering: Exploring Materials, Sustainability, and Market Dynamics DOI Open Access
Ali Akbar Firoozi, Ali Asghar Firoozi, Farzad Hejazi

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(19), P. 8564 - 8564

Published: Oct. 2, 2024

This manuscript delves into the transformative advancements in wind turbine blade technology, emphasizing integration of innovative materials, dynamic aerodynamic designs, and sustainable manufacturing practices. Through an exploration evolution from traditional materials to cutting-edge composites, paper highlights how these developments significantly enhance efficiency, durability, environmental compatibility turbines. Detailed case studies notable global projects, such as Hornsea Project One, Gansu Wind Farm, Block Island illustrate practical applications technologies their impact on energy production sustainability. Additionally, examines critical role regulatory frameworks industry standards fostering technological advancements, ensuring safety, promoting adoption. By analyzing current trends future directions, this study underscores potential modern meet increasing demand for renewable contribute development goals. The findings advocate continued innovation policy alignment fully harness landscape.

Language: Английский

Citations

13
Review of Computational Fluid Dynamics Analysis in Biomimetic Applications for Underwater Vehicles DOI Creative Commons
Zhijun Zhang, Qigan Wang, Shujun Zhang

et al.

Biomimetics, Journal Year: 2024, Volume and Issue: 9(2), P. 79 - 79

Published: Jan. 28, 2024

Biomimetics, which draws inspiration from nature, has emerged as a key approach in the development of underwater vehicles. The integration this with computational fluid dynamics (CFD) further propelled research field. CFD, an effective tool for dynamic analysis, contributes significantly to understanding and resolving complex problems Biomimetics seeks harness innovative biological world. Through imitation structure, behavior, functions organisms, biomimetics enables creation efficient unique designs. These designs are aimed at enhancing speed, reliability, maneuverability vehicles, well reducing drag noise. CFD technology, is capable precisely predicting simulating flow behaviors, plays crucial role optimizing structural design thereby their hydrodynamic kinematic performances. Combining technology introduces novel vehicle unveils broad prospects natural science engineering applications. Consequently, paper aims review application biomimicry primary focus on biomimetic propulsion, reduction, noise reduction. Additionally, it explores challenges faced field anticipates future advancements.

Language: Английский

Citations

12
Occupant's thermal comfort augmentation and thermal load reduction in a typical residential building using genetic algorithm DOI Creative Commons
Mohammadreza Baghoolizadeh,

Mahmoud Behzadi Hamooleh,

As’ad Alizadeh

et al.

Case Studies in Thermal Engineering, Journal Year: 2024, Volume and Issue: 59, P. 104491 - 104491

Published: May 6, 2024

The uncontrollable rise in energy consumption become a most significant issue recent decades. One of the largest consumers resources across all industries is residential building sector. Researchers have suggested several strategies to reduce loss, including enclosing insulation wall structures because air conditioning systems account for majority use inside homes. main goal this article increase residents' thermal comfort (Tc) while reducing their heating load (HL) and cooling (CL). Using EnergyPlus program, model was simulated sample cities with various climatic conditions. For optimization, first seven design variables were determined Jeplus software then multi-objective optimization performed by Non-dominated Sorting Genetic Algorithm (NSGA-Ⅱ) algorithm. As result, Tc, HL, CL values improved 38 62, 61 100, 17 39 percent, respectively.

Language: Английский

Citations

8
Hydrodynamic characterization of manta rays in bowed gliding state DOI
Sen Wang, Pengcheng Gao, Qiaogao Huang

et al.

Ocean Engineering, Journal Year: 2024, Volume and Issue: 294, P. 116799 - 116799

Published: Jan. 30, 2024

Language: Английский

Citations

5
Numerical Simulation Analysis and Research on Drag Reduction and Stability Enhancement Effect of Head Swing Based on Biomimetic Flexible Variants DOI Creative Commons
Debo Qi, Li Yang, Bing Yang

et al.

Journal of Marine Science and Engineering, Journal Year: 2025, Volume and Issue: 13(1), P. 179 - 179

Published: Jan. 20, 2025

With the intensification of oil crisis, research on drag reduction technologies has gained increasing momentum. In tidal environments, effectiveness conventional methods, such as bionic non-smooth surfaces, super-hydrophobic biomimetic jet flow, wall surface vibration, etc., will be severely diminished. To enhance adaptability vehicles in variable fluid this study explores feasibility adjusting a vehicle through active head swing variants. The flexible oscillation was achieved by combining dynamic mesh technology with User-Defined Functions (UDFs). process numerically simulated using Fluent software. results show that, when maintains stationary posture, biasing vehicle’s towards incoming flow direction can effectively reduce radial and moment, thereby improving stability vehicle. Conversely, both moment significantly increase. This condition utilized for auxiliary turning When undergoes continuous periodic its head, characteristics are optimal sine mode. By range head’s angle, it further minimize average during process, making possible to achieve oscillation. improves adaptable highly underwater conditions.

Language: Английский

Citations

0