As such, the precision model not only provides a formally specified account of decision con- fidence, but also leads to immediate suggestions about the use of confidence judgements in the optimization of behavi
Metaheuristic methods, or stochastic methods, are adopted for tackling various problems as solvers when optimization is needed. These methods do not rely on the mathematical characteristics of the o bject17. Swarm intelligence-based stochastic approaches are the most widely used. The primary ...
However, human beings still suffer from knee-joint-related problems such as aseptic loosening caused by excessive wear between articular surfaces, stress-shielding of the bone by prosthesis, and soft tissue development in the interface of bone and implant due to inappropriate select...
Section 4 presents the material (the equipment and databases used), and Sect. 5 presents the results obtained with “default simulation” and “advanced second-order simulations” GUI settings. In Sect. 6, we discuss the tool, our results, the optimization of the algorithm, and perspectives ...
Basically, monitoring of cutting tool condition avoids unexpected changes, reduces down- time, obtains desired workpiece dimensions and eventually reduces production costs and labor [9]. In this manner, FW becomes significant as the first tool life criteria and optimization of FW...
source models: the Soil and Water Assessment Tool (SWAT), the Integrated Valuation of Ecosystem Services and Tradeoffs model (InVEST) and the Resource Investment Optimization System model (RIOS) for hydrological ecosystem service modelling in an urbanizing watershed in Nicaragua as a case study ...
On the other hand, some MCDA problems can be formulated as optimization problems. However, the complexity of this type of problem leads to high-dimensional solutions where the performance of exhaustive search algorithms is frequently low, especially the time needed to explore the solution space. ...
The behavior of the application is too complex to build a model that reflects the relationship between cache associativity and runtime statistical information in real-time. Machine learning algorithms are suitable for solving such optimization problems. Algorithms 2021, 14, 176. https://doi.org/...
Furthermore, the conventional DEA also does not consider the subjectivity and vagueness in the decision–making process. Beside the multi-criteria decision–making method, some researchers use heuristic optimization approaches to select proper suppliers. Basnet and Leung (2005) develop an incapacitated ...
Models for optimization of supply chain network design integrating the cost of quality: A literature review. Am. J. Ind. Bus. Manag. 2016, 6, 860–876. [CrossRef] 5. García-Pastor, A.; Guirao, B.; López-Lambas, M.E. Quality cost in bus operations based on activity-based costing....