Modelling and multi-objective optimal state-dependent control of a continuous double-bioreactor in series fermentation DOI
Juan Wang,

Feiyan Zhao,

Jichao Wang

и другие.

Mathematics and Computers in Simulation, Год журнала: 2024, Номер unknown

Опубликована: Дек. 1, 2024

Язык: Английский

Enhancing Energy Efficiency in Distributed Systems with Hybrid Energy Storage DOI
Linghao Meng, Mei Li,

Hong-Zhi Yang

и другие.

Energy, Год журнала: 2024, Номер 305, С. 132197 - 132197

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

6

Designing a sustainable dental tourism supply chain considering waste treatment DOI

Mohammad Kaviyani Charati,

Fatemeh Gholian-Jouybari, Mostafa Hajiaghaei–Keshteli

и другие.

Annals of Operations Research, Год журнала: 2024, Номер unknown

Опубликована: Янв. 17, 2024

Язык: Английский

Процитировано

4

Reliability-based reinforcement learning driven maintenance policy optimization DOI
Mehrab Tanhaeean,

S.F. Ghaderi,

Mohammad Sheikhalishahi

и другие.

Structure and Infrastructure Engineering, Год журнала: 2025, Номер unknown, С. 1 - 11

Опубликована: Янв. 13, 2025

Язык: Английский

Процитировано

0

A Chaotic Decomposition-Based Approach for Enhanced Multi-Objective Optimization DOI Creative Commons

Javad Alikhani Koupaei,

M. J. Ebadi

Mathematics, Год журнала: 2025, Номер 13(5), С. 817 - 817

Опубликована: Фев. 28, 2025

Multi-objective optimization problems often face challenges in balancing solution accuracy, computational efficiency, and convergence speed. Many existing methods struggle with achieving an optimal trade-off between exploration exploitation, leading to premature or excessive costs. To address these issues, this paper proposes a chaotic decomposition-based approach that leverages the ergodic properties of maps enhance performance. The proposed method consists three key stages: (1) sequence initialization, which generates diverse population global search while reducing costs; (2) chaos-based correction, integrates three-point operator (TPO) local improvement (LIO) refine Pareto front balance exploration–exploitation trade-offs; (3) Tchebycheff updating, ensuring efficient toward solutions. validate effectiveness method, we conducted extensive experiments on suite benchmark compared its performance several state-of-the-art methods. evaluation metrics, including inverted generational distance (IGD), (GD), spacing (SP), demonstrated achieves competitive accuracy efficiency. While maintaining feasibility, our provides well-balanced improved diversity stability. results establish algorithm as promising alternative for solving multi-objective problems.

Язык: Английский

Процитировано

0

Multi-objective Optimization in the Renewal of Historic and Cultural Neighborhoods: Application to Shenyang's Bagua Street Using an Improved NSGA-II Algorithm DOI Creative Commons
Jie Ren, Yuxin Zhang

KSCE Journal of Civil Engineering, Год журнала: 2025, Номер unknown, С. 100214 - 100214

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

ISO: An improved snake optimizer with multi-strategy enhancement for engineering optimization DOI

Yunwei Zhu,

Haisong Huang, Jianan Wei

и другие.

Expert Systems with Applications, Год журнала: 2025, Номер unknown, С. 127660 - 127660

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

Towards sustainable regional energy solutions: An optimized operational model for integrated energy systems with price-responsive planning DOI
Jie Yu, Chen Lü, Qiong Wang

и другие.

Energy, Год журнала: 2024, Номер 305, С. 132278 - 132278

Опубликована: Июль 2, 2024

Язык: Английский

Процитировано

3

Bi-Level Energy Optimization for Social Welfare and Sustainability in Multi-Area Microgrids DOI

Hao Zhu,

Zheng Qu, Songyu Jiang

и другие.

Computers & Electrical Engineering, Год журнала: 2024, Номер 118, С. 109440 - 109440

Опубликована: Июль 4, 2024

Язык: Английский

Процитировано

2

Optimizing integrated hydrogen technologies and demand response for sustainable multi-energy microgrids DOI

Xintong Du,

Yang Yang, Haifeng Guo

и другие.

Electrical Engineering, Год журнала: 2024, Номер unknown

Опубликована: Авг. 19, 2024

Язык: Английский

Процитировано

1

Multi-objective optimization design of low-power-driven, large-flux, and fast-response three-stage valve DOI Creative Commons
Aixiang Ma,

Heruizhi Xiao,

Hao Yue

и другие.

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Май 21, 2024

Abstract Solenoid valves in coal mining equipment are driven by intrinsically safe solenoids. The low power consumption of these solenoids limits the response time solenoid valves. Additionally, viscosity and high susceptibility to dust contamination emulsion fluid often leads leakage sticking hydraulic To address issues, this study proposes a low-power-driven, large-flux, fast-response three-stage valve structure with an internal displacement feedback device. driving is less than 1.2 W. key parameters were optimized using novel multi-objective optimization algorithm. A prototype was manufactured based on obtained subjected simulation experimental verification. results demonstrate that has opening 21ms, closing 12ms, maximum flow rate approximately 225L/min. By utilizing for cylinder control, positioning accuracy ±0.15mm achieved.

Язык: Английский

Процитировано

0