Search Results - subject:"NSGA"

Achieving green mobility : multi-objective optimization for sustainable electric vehicle charging

Barakat, Shimaa; Osman, Ahmed I.; Tag-Eldin, Elsayed; … - In: Energy strategy reviews 53 (2024), pp. 1-27

system and compares it with HOMER software. The results show that NSGA-II is the best MOO technique for this problem, as it …

Persistent link: https://www.econbiz.de/10014584361

Multi-objective portfolio optimization : an application of the Non-dominated Sorting Genetic Algorithm III

Muteba Mwamba, John; Mbucici, Leon Mishindo; Mba, Jules … - In: International Journal of Financial Studies : open … 13 (2025) 1, pp. 1-18

This study evaluates the effectiveness of the Non-dominated Sorting Genetic Algorithm III (NSGA-III) in comparison to …, and kurtosis. The findings reveal that NSGA-III significantly outperforms the Mean-Variance method by generating a more … diverse set of Pareto-optimal portfolios. Portfolios optimized with NSGA-III exhibited superior performance, achieving higher …

Persistent link: https://www.econbiz.de/10015338358

Multi - objective optimization of the global tungsten trade network for supply risk reduction and economic benefit improvement

Jia, Nanfei; Pi, Zhengrong; Zuo, Min; Shi, Yuhang - In: International review of economics & finance : IREF 98 (2025), pp. 1-12

Persistent link: https://www.econbiz.de/10015333011

A multiobjective approach for weekly Green Home Health Care routing and scheduling problem with care continuity and synchronized services

Makboul, Salma; Kharraja, Said; Abbassi, Abderrahman; … - In: Operations research perspectives 12 (2024), pp. 1-19

Home Health Care (GHHC) framework. In the first stage, we utilize multiobjective programming and the NSGA-II algorithm to …

Persistent link: https://www.econbiz.de/10015055639

Automated machine learning methodology for optimizing production processes in small and medium-sized enterprises

Cruz, Yarens J.; Villalonga, Alberto; Castaño, Fernando; … - In: Operations research perspectives 12 (2024), pp. 1-10

Machine learning can be effectively used to generate models capable of representing the dynamic of production processes of small and medium-sized enterprises. These models enable the estimation of key performance indicators, and are often used for optimizing production processes. However, in...

Persistent link: https://www.econbiz.de/10015055720

A multi-objective formulation for the team formation problem using Krippendorff's disagreement and sociometric cohesion with Pareto-solutions obtained via evolutionary algorithms

Casotti, André Luiz Netto; Krohling, Renato A. - In: Computers & operations research : an international journal 161 (2024), pp. 1-12

Persistent link: https://www.econbiz.de/10014559079

Sustainable hierarchical multi-modal hub network design problem : bi-objective formulations and solution algorithms

Nasiri, Mohammad Mahdi; Khaleghi, Amir; Govindan, Kannan; … - In: Operational research : an international journal 23 (2023) 2, pp. 1-62

Persistent link: https://www.econbiz.de/10014330431

Multiobjective unrelated parallel machines scheduling problem with periodic maintenance activities and dependent processing times

Yaghtin, Mohammad; Javid, Youness - In: Journal of modelling in management 20 (2025) 2, pp. 477-494

Persistent link: https://www.econbiz.de/10015372617

Seru scheduling problem with lot streaming and worker transfers : a multi-objective approach

Gürsoy Yılmaz, Beren; Yılmaz, Ömer Faruk; Akçalı, Elif - In: Computers & operations research : an international journal 177 (2025), pp. 1-25

Persistent link: https://www.econbiz.de/10015338257

Integrated scheduling of multi-objective lot-streaming hybrid flowshop with AGV based on deep reinforcement learning

Tang, Hongtao; Huang, Jiawei; Ren, Chenhao; Shao, Yiping; … - In: International journal of production research 63 (2025) 4, pp. 1275-1303

Persistent link: https://www.econbiz.de/10015202272