[PDF] Top 20 Índice de calidad y evaluación de un sistema PPG

... Designing networks with specified properties is useful in a variety of application areas, enabling the study of how given properties affect the behaviour of network models and the analysis of network ...generate ... See full document

... The nodes of leveled network are associated with given costs. We are looking for the benefit each link provides. Here, a clustering approach is considered. Clusters are formed as follows: at each level, all sub-functions ... See full document

... Evolutionary algorithm-based global search and the Simplex theory, since global exploration and local search are intimately related and performed simultaneously, in such a way that they take ... See full document

... with optimization option O3 and C++11 features ...PNPOLY algorithm developed by Franklin (2006) while all implementations using linear programming for node fathoming are solved by CPLEX using its dual ... See full document

... coding based multicast routing problem as a bi-objective optimization problem, with one objective to minimize the total cost and the other to minimize the maximum transmission delay of ... See full document

... problem optimization problems, GWO has been reformed in search space of difficult ...wolf optimization improve as multi-objective grey wolf optimization to solve the multi- objective ... See full document

... in objective function space in multi-objective problems is based on responses that are not superior than ...all objective functions because at least an objective function gets ...formed ... See full document

... The Fairchild Creek watershed, draining 355 km 2 at the outlet station (Figure 1), is located in the central part of the Grand River Basin in Ontario, Canada. Topography of the watershed is relatively flat with 90% of ... See full document

... propose a single objective optimization model with time windows, e.g., Fan and Le (2011), Wang, Chi and Ge (2011a), and Liu et al. (2011). However, the solution of the first kind of method depends on the ... See full document

... different extensions of RIPs. RIP has been recently focused to be implemented in different fields of optimization problems. Production design [7], software engineering [8], military capability planning [9], ... See full document

... Nearest Neighborhood method is the method used in a dataset, contain the classes similar to the cluster center and its neighbor. K is an anonymity that includes the neighbors closest to the subsets. In nearest neighbor ... See full document

... Teaching-Learning-based optimization (TLBO) is a recently proposed population based algorithm, which simulates the teaching-learning process of the class ...This algorithm requires only ... See full document

... Zheng Wei (2014) et. al present that, this paper presents an intelligent method for modeling Routing in WSN. A unique routing protocol depends on Artificial Bee Colony algorithm is presented in this paper for ... See full document

... Genetic Algorithms provides one of these methods. Practically they all work in a similar way, adapting the simple genetics to algorithmic mechanisms. GA handles a population of possible solutions. Each solution is ... See full document

... new bi-objective mix-integer linear programming model developed for scheduling two groups of experienced and inexperienced distribution staff based on capillary marketingin Pak Pasteurized Dairy ... See full document

... genetic algorithm (NSGA-II) and knowledge- based non-dominated sorting genetic algorithm ...KBNSGA-II, based on set coverage and mean ideal distance metrics, is inferred from ... See full document

... genetic algorithm (GA) is a search heuristic that mimics the process of natural ...other optimization problems. Genetic algorithm is a part of soft computing a branch of computer science that deals ... See full document

... the algorithm to some ...the algorithm to a certain extent. However, the complex- ity of the algorithm has been greatly increased, and the efficiency of the algorithm is relatively ...the ... See full document

... intelligence based algorithms are probabilistic algorithms and required common controlling parameters like population size and number of ...own algorithm-specific control ...the algorithm-specific ... See full document

... Next, the performance of each algorithm is simulated under black hole attack. As shown in Fig. 5, the total trend of the packet loss rate of all algorithms increase as the increase of the malicious nodes with ... See full document