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 dev
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...
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 ...
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 ...
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. ...
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....
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 ...
2. Literature Review The Tourist Trip Design Problem (TTDP) and Tour Route Planning Problem (TRPP) are important problems in tourism. These problems are caused because the tourist cannot visit the all the desired tourist attractions. A long journey and the time window are main limitations when ...
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/...
AI has been used for business intelligence as in the investigations carried out by [6–8]. Research has also been carried out in the financial sector [9–13], for optimization of production processes such as in [14], and in human resources selection processes [15–18]. Besides, there ...