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

Smart energy strategies for dynamic EV charging and renewable integration in distribution systems : a multi-objective optimization framework

Yuvaraj, T.; Krishnamoorthy, R.; Arun, S.; Bajaj, Mohit; … - In: Energy strategy reviews 63 (2026), pp. 1-29

Algorithm (COA) and benchmarked against Particle Swarm Optimization (PSO), Honey Badger Optimization Algorithm (HPOA), and the … deviations, while maximizing net grid-trading revenue over a 24-h horizon. The problem is solved using the Cheetah Optimization …

Persistent link: https://www.econbiz.de/10015605065

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

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

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

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

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

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

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

Developing a machine learning model for fast economic optimization of solar power plants using the hybrid method of firefly and genetic algorithms, case study : optimizing solar thermal collector in Calgary, Alberta

Omidkar, Ali; Es'haghian, Razieh; Song, Hua - In: Green finance : GF 6 (2024) 4, pp. 698-727

Persistent link: https://www.econbiz.de/10015618086