NSGA-II is an evolutionary algorithm developed as an answer to the shortcomings of early evolutionary algorithms, which lacked elitism and used a sharing parameter in order to sustain a diverse Pareto set. NSGA-II uses a fast non-dominated sorting algorithm, sharing, elitism, and crowded compariso...
Pre-recorded neuronal signals evaluate the accuracy of the proposed algorithms and architectures: The recorded data are processed by a standard PCA spike sorting software algorithm, as well as by the several hardware algorithms, and the outcomes are compared. 展开 ...
Along with that, the mathematical predictive models used for single-objective optimization are gradually being replaced by machine learning algorithms, which are highly robust and efficient in terms of prediction performance. Therefore, this work addresses the prediction and optimization of average surface...
Functional Unit Capable of Executing Sorting Algorithm and Other Algorithms In order to greatly speed up the construction of a sorted set from an unsorted set, FIG. 4 shows an embodiment of a logic circuit design for a functional unit400within an instruction execution pipeline that implements a ...
ranked set of processors in the processor group. In this regard, compare-and-exchange operations may be performed by a routine that takes the value held by this processor, obtains a value from another predetermined processor and if the current processor is lower-ranked, the lesser value is ...
while reducing human workload and enhancing worker satisfaction. This is accomplished by encapsulating diverse data, models, algorithms, and results, including support services that facilitate the mapping between the aforementioned three components in the form of tool groups, module engines, and the like...
(2021). Modeling a robust multi-objective locating-routing problem with bounded delivery time using meta-heuristic algorithms. Smart and Resilient Transportation, 3(3), 283–303. https://doi.org/10.1108/SRT-08-2021-0008 Article Google Scholar Hashemi, L., Mahmoodi, A., Jasemi, M., ...
4.The method in accordance with claim 3, characterized in that the system of linear equations is solved in the processor by means of real time algorithms. 5.The method in accordance with claim 3, characterized in that modified machine configurations are taken into account by matching constants ...
NSGA-II is one of the most popular multi-objective genetic algorithms [40]. It has the advantage of fast running speed and good convergence of solutions. Moreover, it has become the benchmark for evaluating numerous optimization algorithms. NSGA-II is the second generation non-dominated sorting...
NSGA-II is one of the most popular multi-objective genetic algorithms [40]. It has the advantage of fast running speed and good convergence of solutions. Moreover, it has become the benchmark for evaluating numerous optimization algorithms. NSGA-II is the second generation non-dominated sorting...