A review and evaluation of multi and many-objective optimization: Methods and algorithms
F Karami, AB Dariane - Global Journal of Ecology, 2022 - agriscigroup.us
Most optimization problems naturally have several objectives, usually in conflict with each
other. The problems with two or three objective functions are referred to as Multi-Objective …
other. The problems with two or three objective functions are referred to as Multi-Objective …
A review of methodologies for managing energy flexibility resources in buildings
The integration of renewable energy and flexible energy sources in buildings brings
numerous benefits. However, the integration of new technologies has increased the …
numerous benefits. However, the integration of new technologies has increased the …
Short-term power load forecasting system based on rough set, information granule and multi-objective optimization
J Wang, K Wang, Z Li, H Lu, H Jiang - Applied Soft Computing, 2023 - Elsevier
Accurately forecasting power load is essential for utilities to effectively manage their
resources, reduce operational costs, and provide improved customer service. However, the …
resources, reduce operational costs, and provide improved customer service. However, the …
A decision-support framework for data anonymization with application to machine learning processes
The application of machine learning techniques to large and distributed data archives might
result in the disclosure of sensitive information about the data subjects. Data often contain …
result in the disclosure of sensitive information about the data subjects. Data often contain …
Optimized phenol degradation and lipid production by Rhodosporidium toruloides using response surface methodology and genetic algorithm-optimized artificial …
Oleaginous yeast can produce lipids while degrading phenol in wastewater treatment. In this
study, a Plackett-Burman Design (PBD) was adopted to identify key factors of phenol …
study, a Plackett-Burman Design (PBD) was adopted to identify key factors of phenol …
Multi-objective optimization of the ORC axial turbine for a waste heat recovery system working in two modes: cogeneration and condensation
Due to the demand of the district heating network and electric power grid ORC turbines can
operate in the condensation and cogeneration modes. This approach requires the design of …
operate in the condensation and cogeneration modes. This approach requires the design of …
A column generation-based algorithm for gate assignment problem with combinational gates
J Li, K Li, Q Tian, X ** - Expert Systems with Applications, 2024 - Elsevier
The gate assignment is a complicated real-world problem occurring in airports. The present
paper studies the gate assignment problem with combinational gates. The problem is multi …
paper studies the gate assignment problem with combinational gates. The problem is multi …
[HTML][HTML] Design of low-carbon multi-energy systems in the SecMOD framework by combining MILP optimization and life-cycle assessment
Decarbonizing complex industrial energy systems is an important step to mitigate climate
change. Designing the transition of such sector-coupled industrial energy systems to low …
change. Designing the transition of such sector-coupled industrial energy systems to low …
Inventory and total completion time minimization for assembly job-shop scheduling considering material integrity and assembly sequential constraint
Assembly job-shop scheduling problems (AJSSP), considering material integrity and
assembly sequential constraint (AJSSP-IS), exist widely in rolling stock industries …
assembly sequential constraint (AJSSP-IS), exist widely in rolling stock industries …
An interactive analytics approach for sustainable and resilient case studies: a machine learning perspective
Sustainable development is a problem-solving method that simultaneously accounts for the
economic, environmental, and social impacts of actions. Decision-makers have recently …
economic, environmental, and social impacts of actions. Decision-makers have recently …