Optimization of End Milling Parameters Using African Vulture Optimization Algorithm DOI
Mića Đurđev, Mijodrag Milošević, Dejan Lukić

и другие.

Lecture notes in networks and systems, Год журнала: 2024, Номер unknown, С. 310 - 320

Опубликована: Янв. 1, 2024

Язык: Английский

Prediction and strategies of buildings’ energy consumption: A review of modeling approaches and energy-saving technologies DOI

Fangzheng Li,

Tengfei Peng,

Jing Chen

и другие.

International Journal of Green Energy, Год журнала: 2025, Номер unknown, С. 1 - 36

Опубликована: Март 6, 2025

Язык: Английский

Процитировано

2

Flat broadband frequency upconversion within thin-film lithium niobate waveguide achieved by multi-objective genetic algorithm particle swarm optimization DOI Creative Commons
Yiheng Wu, Haitao Chen,

He Fu

и другие.

Optics Express, Год журнала: 2025, Номер 33(4), С. 7126 - 7126

Опубликована: Янв. 31, 2025

In the field of nonlinear infrared frequency upconversion within a poled thin film lithium niobate (TFLN) waveguide for spectroscopy, there is persistent demand achieving flat broadband response, characterized by minimal variation in output intensity across desired wavelength range. We propose design method that significantly broadens spectral bandwidth and enhances response flatness through multi-objective genetic algorithm particle swarm optimization (GAPSO). This approach minimizes human intervention process, thereby enhancing efficiency accuracy compared to traditional methods depend on preset parameters. Compared chirped periodically TFLN waveguide-based scheme, remarkable expansion from 180 nm 312 (a 73% increase) an improved 1.71 dB 0.56 reduction over 67%) achieved. work not only paves way more efficient scheme but also opens new avenues advancements optical applications, such as telecommunications sensing technologies.

Язык: Английский

Процитировано

1

Adsorbent shaping as enabler for intensified pressure swing adsorption (PSA): A critical review DOI Creative Commons

Dora-Andreea Chisăliță,

Jurriaan Boon, Leonie Lücking

и другие.

Separation and Purification Technology, Год журнала: 2024, Номер 353, С. 128466 - 128466

Опубликована: Июнь 16, 2024

Pressure swing adsorption is widely applied in industry for hydrogen purification, methane recovery, air separation, biomass upgrading, CO2 to name a few. To further improve the attractiveness of pressure systems, ongoing research focusses on ways intensify process. In particular, productivity and reduce footprint system consequently leading reduced capital operating costs. The proposed solution known as fast or rapid cycling which, implies, means cycle time. However, there are some challenges overcome such mass transfer limitations separation efficiency, well increased drop due high superficial velocities typical cycling. Adsorbent shaping has potential these it being regarded promising process intensification processes offering great flexibility designing optimized cycles with improved performance. Various adsorbent shapes monoliths, laminates, foams fibers have been studied literature monolith structures most popular. Most published topic concentrated material development lab-scale testing, modeling, manufacturing through 3D printing techniques. Performance evaluations generally target enhanced kinetics only few papers addressing broader context economic assessments gained benefits using structured adsorbents place beads pellets. Although, sorbent very developing field, still significant work be done reach its full potential. Further should go beyond shape optimization testing pilot/large-scale under cyclic conditions. this context, newly developed artificial intelligence tools show promise intensified based by speeding up computation time complex routines. date, limited industrial applications sorbents. One main hurdles large scale deployments labor intensive preparation methods currently available, Thus, easy, cost-effective options automatization, will expedite large-scale implementation processes.

Язык: Английский

Процитировано

7

A two-stage network framework for topology optimization incorporating deep learning and physical information DOI
Dalei Wang, Yun Ning, Xiang Cheng

и другие.

Engineering Applications of Artificial Intelligence, Год журнала: 2024, Номер 133, С. 108185 - 108185

Опубликована: Март 2, 2024

Язык: Английский

Процитировано

6

Multi-agent deep reinforcement learning with enhanced collaboration for distribution network voltage control DOI

Jiapeng Huang,

Huifeng Zhang, Tian Ding

и другие.

Engineering Applications of Artificial Intelligence, Год журнала: 2024, Номер 134, С. 108677 - 108677

Опубликована: Июнь 3, 2024

Язык: Английский

Процитировано

5

Success History Adaptive Competitive Swarm Optimizer with Linear Population Reduction: Performance benchmarking and application in eye disease detection DOI
Rui Zhong, Zhongmin Wang, Abdelazim G. Hussien

и другие.

Computers in Biology and Medicine, Год журнала: 2025, Номер 186, С. 109587 - 109587

Опубликована: Янв. 2, 2025

Язык: Английский

Процитировано

0

Adulteration Detection of Cow Milk in Buffalo Milk Using Fourier-Transform Infrared Spectroscopy and Artificial Intelligence-Based Techniques DOI
Sinem Çolak, İrem Uzunsoy, Ali Narin

и другие.

Journal of Food Composition and Analysis, Год журнала: 2025, Номер unknown, С. 107203 - 107203

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Assembly sequence planning based on hybrid SOS-PSO algorithm DOI
Jian Zhang,

Chang Chen,

Shaohui Su

и другие.

The International Journal of Advanced Manufacturing Technology, Год журнала: 2025, Номер unknown

Опубликована: Фев. 12, 2025

Язык: Английский

Процитировано

0

The Study of Convex Quadratic Optimization Problems with Indicator Variables DOI

宗丹 刘

Operations Research and Fuzziology, Год журнала: 2025, Номер 15(02), С. 302 - 312

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Progressive DNN-metaheuristics for programmable broadband mechanical metamaterial absorbers design DOI
Tae Sun Park,

Dowon Noh,

Jeongwoo Lee

и другие.

International Journal of Mechanical Sciences, Год журнала: 2025, Номер unknown, С. 110297 - 110297

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0