Search Results - subject:"Optimization algorithm"

A novel efficient energy optimization in smart urban buildings based on optimal demand side management

Alhasnawi, Bilal Naji; Jasim, Basil H.; Alhasnawi, … - In: Energy strategy reviews 54 (2024), pp. 1-22

evaluated by comparing it with the Grasshopper Optimization Algorithm (GOA) and unscheduled cases. Without applying an … optimization algorithm, the total electricity cost, carbon emission, PAR and waiting time are equal to 1703.576 ID, 34.16664 (kW …. Furthermore, this study has presented a novel two-stage stochastic model based on Moth-Flame Optimization Algorithm (MFOA) for the …

Persistent link: https://www.econbiz.de/10014637303

Exchange rate forecasting : a deep learning framework combining adaptive signal decomposition and dynamic weight optimization

Tang, Xi; Xie, Yumei - In: International Journal of Financial Studies : open … 13 (2025) 3, pp. 1-29

employed to autonomously modify the noise parameters of OCEEMDAN, while the zebra optimization algorithm (ZOA) dynamically fine …

Persistent link: https://www.econbiz.de/10015457843

Meta-model-based optimization of rule-based energy management in second-hand plug-in hybrid electric vehicles

Bhattacharjee, Debraj; Mandol, Sourabh; Ghosh, Tamal - In: Data science and management : DSM 8 (2025) 3, pp. 388-402

This study presents a methodology to enhance energy management systems (EMS) in hybrid electric vehicles (HEVs) to reduce fuel consumption and greenhouse gas emissions. A novel surrogate-assisted optimization framework is employed, incorporating key performance metrics such as fuel efficiency...

Persistent link: https://www.econbiz.de/10015550479

Application of Fractal Processes and Fractional Derivatives in Finance

Chan, Leung Lung (contributor) - 2024

In recent years, there has been a fast growth in the application of long-memory processes to underlying assets including stock, volatility index, exchange rate, etc. The fractional Brownian motion is the most popular of the long-memory processes and was introduced by Kolmogorov in 1940 and later...

Persistent link: https://www.econbiz.de/10015324975

Comparison of improved relevance vector machines for streamflow predictions

Adnan, Rana Muhammad; Mostafa, Reham R.; Dai, Hong-Liang; … - In: Journal of forecasting 43 (2024) 1, pp. 159-181

Persistent link: https://www.econbiz.de/10014443193

Enhancing supply chain resilience : RIME-clustering and ensemble deep learning strategies for late delivery risk prediction

Douaioui, Kaoutar; Oucheikh, Rachid; Mabrouki, Charif - In: LogForum : elektroniczne czasopismo naukowe z dziedziny … 20 (2024) 1, pp. 55-71

Persistent link: https://www.econbiz.de/10014520011

A mixed-integer non-linear no-wait open-shop scheduling model for minimizing makespan and total tardiness in manufacturing

Mirmozaffari, Mirpouya; Hejazi, Seyed Mojtaba; … - 2024

Optimization Algorithm (WOA), and Ant Lion Optimizer (ALO) are compared to resolve large-scale problems by considering a sorting …

Persistent link: https://www.econbiz.de/10014541881

Advanced queueing and location-allocation strategies for sustainable food supply chain

Paksaz, Amirmohammad; Beinabadi, Hanieh Zareian; … - In: Logistics 8 (2024) 3, pp. 1-24

times, and reducing environmental impact. Methods: The grasshopper optimization algorithm (GOA), a meta-heuristic algorithm … GAMS fall short. Results: The results indicate that the proposed model, utilizing the grasshopper optimization algorithm …

Persistent link: https://www.econbiz.de/10015080834

Swarm intelligence and nature inspired algorithms for solving vehicle routing problems : a survey

Stamadianos, Themistoklis; Taxidou, Andromachi; … - In: Operational research : an international journal 24 (2024) 3, pp. 1-45

Persistent link: https://www.econbiz.de/10015135653

Comparison of improved relevance vector machines for streamflow predictions

Adnan, Rana Muhammad; Mostafa, Reham R.; Dai, Hong‐Liang - In: Journal of Forecasting 43 (2023) 1, pp. 159-181

This study investigates the feasibility of relevance vector machine tuned with dwarf mongoose optimization algorithm in … vector machine tuned with dwarf mongoose optimization algorithm improved the efficiency of single method in monthly …

Persistent link: https://www.econbiz.de/10014504245