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Consensus reaching for ordinal classification-based group decision making with heterogeneous preference information

Li, Zhuolin; Zhang, Zhen; Yu, Wenyu - In: Journal of the Operational Research Society 75 (2024) 2, pp. 224-245

Persistent link: https://www.econbiz.de/10014555656

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

Job-shop scheduling with limited flexible workers considering ergonomic factors using an improved multi-objective discrete Jaya algorithm

Usman, Shaban; Lu, Cong - In: Computers & operations research : an international journal 162 (2024), pp. 1-20

Persistent link: https://www.econbiz.de/10014560324

Evolutionary multi-objective design of autoencoders for compact representation of histopathology whole slide images

Zaman Farsa, Davood; Rahnamayan, Shahryar; Bidgoli, … - In: Computers & operations research : an international journal 162 (2024), pp. 1-15

Persistent link: https://www.econbiz.de/10014560612

Putting into practice a decision-making framework for a thorough performance and location evaluation of solar photovoltaic plants in India from distinctive climate zones

Singh, Shweta; Powar, Satvasheel - In: Energy strategy reviews 50 (2023), pp. 1-15

Solar energy utilization has evolved tremendously in many countries to compete with conventional energy sources due to abundant availability, ongoing module price declines, and efficiency gains. Besides these advantages, most solar power plants continue to underperform due to various technical...

Persistent link: https://www.econbiz.de/10014563019

An improved MOEA/D for multi-objective flexible job shop scheduling by considering efficiency and cost

Xiao, Biao; Zhao, Zhengcai; Wu, Yingchen; Zhu, Xialin; … - In: Computers & operations research : an international journal 167 (2024), pp. 1-12

Persistent link: https://www.econbiz.de/10014566416

Deep reinforcement learning for multi-objective game strategy selection

Jiang, Ruhao; Deng, Yanchen; Chen, Yingying; Luo, He; An, Bo - In: Computers & operations research : an international journal 168 (2024), pp. 1-16

Persistent link: https://www.econbiz.de/10014566980

Post Covid-19 strategies for power and energy sectors of Bangladesh

Kabir, K. Habibul; Hossain, Md Rifat; Shams, S. M. Nasif; … - In: Energy strategy reviews 50 (2023), pp. 1-19

Bangladesh has tremendous development potential across a wide range of socioeconomic sectors. Over the past decade, its energy and power sectors have grown consistently. However, the unexpected outbreak of COVID-19 threatens the continuation of progress. To successfully overcome and comply with...

Persistent link: https://www.econbiz.de/10014574449

Group preference decision-making for the implementation of Industry 4.0 in food and beverage SMEs

Ushada, Mirwan; Amalia, Rosa; Trapsilawati, Fitri; Nur … - In: Technology analysis & strategic management 36 (2024) 8, pp. 1960-1977

Persistent link: https://www.econbiz.de/10014575002

Dry port location selection for integration with inland waterway transport in developing countries : a case study in Northern Vietnam

Thi Minh Hoa Nguyen; Binsbergen, Arjan van; Dinh Cuong Thinh - In: Journal of supply chain management science : JSCMS 5 (2024) 1/2, pp. 1-29

Dry port has emerged as a critical element of transport infrastructure, eliciting substantial research and investment for its development. The strategic selection of dry port locations not only enhances the effectiveness of connections between seaports and hinterlands but also supports the...

Persistent link: https://www.econbiz.de/10015053947