Real-world optimization problems typically involve multiple objectives to be optimized simultaneously under multiple constraints and with respect to several variables. While multi …
Engineering design (ED) is the process of solving technical problems within requirements and constraints to create new artifacts. Data science (DS) is the inter-disciplinary field that …
H Smedberg, S Bandaru - European Journal of Operational Research, 2023 - Elsevier
In many practical applications, the end-goal of multi-objective optimization is to select an implementable solution that is close to the Pareto-optimal front while satisfying the decision …
The improvement of emergency department processes involves the need to take into consideration multiple variables and objectives in a highly dynamic and unpredictable …
X Lai, C Li, J Zhou, Y Zhang, Y Li - Applied Energy, 2020 - Elsevier
Pumped hydropower is the most important sustainable energy in a power grid, which is converted into electricity through pumped storage hydropower systems. The energy …
Reacting quickly to changing market demands and new variants by improving and adapting industrial systems is an important business advantage. Changes to systems are costly; …
Purpose The purpose of this paper is to explore the selection of decision-making approaches at manufacturing companies when implementing process innovations …
SS Kamble, RS Mor, A Belhadi - … and Industry 4.0 for Sustainable Supply …, 2023 - Springer
Recent developments in information technology generating massive amount of data are referred to as big data. Such data with variety and velocity pose a challenge to supply chain …
Learning effective problem information from already explored search space in an optimization run, and utilizing it to improve the convergence of subsequent solutions, have …