Multi-objective analysis and optimization of energy aspects during dry and MQL turning of unreinforced polypropylene (PP): an approach based on ANOVA, ANN, MOWCA, and MOALO DOI
Amine Hamdi, Yusuf Furkan Yapan, Alper Uysal

et al.

The International Journal of Advanced Manufacturing Technology, Journal Year: 2023, Volume and Issue: 128(11-12), P. 4933 - 4950

Published: Sept. 4, 2023

Language: Английский

A novel selective ensemble system for wind speed forecasting: From a new perspective of multiple predictors for subseries DOI
Sibo Yang, Wendong Yang, Xiaodi Wang

et al.

Energy Conversion and Management, Journal Year: 2023, Volume and Issue: 294, P. 117590 - 117590

Published: Sept. 6, 2023

Language: Английский

Citations

18

Complex-valued artificial hummingbird algorithm for global optimization and short-term wind speed prediction DOI
Liuyan Feng, Yongquan Zhou, Qifang Luo

et al.

Expert Systems with Applications, Journal Year: 2024, Volume and Issue: 246, P. 123160 - 123160

Published: Jan. 8, 2024

Language: Английский

Citations

7

Applying the new multi-objective algorithms for the operation of a multi-reservoir system in hydropower plants DOI Creative Commons

S Hashemi,

Amir Robati,

Mohammad Ali Kazerooni

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Feb. 13, 2024

Abstract The optimal operation of the multi-purpose reservoir system is a difficult, and, sometimes, non-linear problem in multi-objective optimization. By simulating biological behavior, meta-heuristic algorithms scan decision space and can offer set points as group solutions to problem. Because it essential simultaneously optimize several competing objectives consider relevant constraints main many optimization problems, researchers have improved their ability solve problems by developing complementary algorithms. AHA algorithm new, its version, MOAHA (multi-objective artificial hummingbird algorithm), was used this study compared with two novel algorithms, MOMSA MOMGA. Schaffer MMF1 were standard benchmark functions gauge effectiveness proposed method. Then, for 180 months, best way operate Karun River basin, which includes 4, 3, 1, Masjed-e-Soleyman, Gotvand Olia dams generate hydropower energy, supply downstream demands (drinking, agriculture, industry, environmental), control flooding examined from September 2000 August 2015. Four performance appraisal criteria (GD, S, Δ, MS) four evaluation indices (reliability, resiliency, vulnerability, sustainability) Karun's multi-reservoir evaluate algorithm. All three demonstrated strong capability criterion using algorithms’ indicators. large-scale (1800 dimensions) Basin another With minimum 1441.71 an average annual energy manufacturing 17,166.47 GW, considerable other two. final results algorithm’s excellent performance, particularly difficult significant such systems' under various objectives.

Language: Английский

Citations

7

IBMSMA: An Indicator-based Multi-swarm Slime Mould Algorithm for Multi-objective Truss Optimization Problems DOI
Shihong Yin, Qifang Luo, Yongquan Zhou

et al.

Journal of Bionic Engineering, Journal Year: 2022, Volume and Issue: 20(3), P. 1333 - 1360

Published: Dec. 1, 2022

Language: Английский

Citations

24

Multi-objective analysis and optimization of energy aspects during dry and MQL turning of unreinforced polypropylene (PP): an approach based on ANOVA, ANN, MOWCA, and MOALO DOI
Amine Hamdi, Yusuf Furkan Yapan, Alper Uysal

et al.

The International Journal of Advanced Manufacturing Technology, Journal Year: 2023, Volume and Issue: 128(11-12), P. 4933 - 4950

Published: Sept. 4, 2023

Language: Английский

Citations

15