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

Feiyan Zhao,

Jichao Wang

et al.

Mathematics and Computers in Simulation, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 1, 2024

Language: Английский

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

Hong-Zhi Yang

et al.

Energy, Journal Year: 2024, Volume and Issue: 305, P. 132197 - 132197

Published: Oct. 1, 2024

Language: Английский

Citations

6
Designing a sustainable dental tourism supply chain considering waste treatment DOI

Mohammad Kaviyani Charati,

Fatemeh Gholian-Jouybari, Mostafa Hajiaghaei–Keshteli

et al.

Annals of Operations Research, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 17, 2024

Language: Английский

Citations

4
Reliability-based reinforcement learning driven maintenance policy optimization DOI
Mehrab Tanhaeean,

S.F. Ghaderi,

Mohammad Sheikhalishahi

et al.

Structure and Infrastructure Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 11

Published: Jan. 13, 2025

Language: Английский

Citations

0
A Chaotic Decomposition-Based Approach for Enhanced Multi-Objective Optimization DOI Creative Commons

Javad Alikhani Koupaei,

M. J. Ebadi

Mathematics, Journal Year: 2025, Volume and Issue: 13(5), P. 817 - 817

Published: Feb. 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.

Language: Английский

Citations

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, Journal Year: 2025, Volume and Issue: unknown, P. 100214 - 100214

Published: March 1, 2025

Language: Английский

Citations

0
ISO: An improved snake optimizer with multi-strategy enhancement for engineering optimization DOI

Yunwei Zhu,

Haisong Huang, Jianan Wei

et al.

Expert Systems with Applications, Journal Year: 2025, Volume and Issue: unknown, P. 127660 - 127660

Published: April 1, 2025

Language: Английский

Citations

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

et al.

Energy, Journal Year: 2024, Volume and Issue: 305, P. 132278 - 132278

Published: July 2, 2024

Language: Английский

Citations

3
Bi-Level Energy Optimization for Social Welfare and Sustainability in Multi-Area Microgrids DOI

Hao Zhu,

Zheng Qu, Songyu Jiang

et al.

Computers & Electrical Engineering, Journal Year: 2024, Volume and Issue: 118, P. 109440 - 109440

Published: July 4, 2024

Language: Английский

Citations

2
Optimizing integrated hydrogen technologies and demand response for sustainable multi-energy microgrids DOI

Xintong Du,

Yang Yang, Haifeng Guo

et al.

Electrical Engineering, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 19, 2024

Language: Английский

Citations

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

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: May 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.

Language: Английский

Citations

0