Titlebook: Hybrid Artificial Intelligent Systems; 12th International C Francisco Javier Martínez de Pisón,Rubén Urraca,Em Conference proceedings 2017

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Leveraging Distributed Representations of Elements in Triples for Predicate Linkingfrom natural language text in order to populate knowledge. Nonetheless, most approaches do not consider forming links between the extracted triples and the KG triples, especially for predicates. Predicate linking is used to identify the predicate in a KG that exactly corresponds to an extracted pred

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Ancillary

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Topological Evolution of Financial Network: A?Genetic Algorithmic Approachto previous studies which estimate the correlations between different time series, dTWGA can be used to analyse time series with different lengths and with data sampled unevenly. Moreover, since coupling between different time series or at different periods of time would be changing over time, the t

賞心悅目

Optimization of Joint Sales Potential Using Genetic Algorithmee neighbors to that in the union of their first-degree neighbors. A high joint sales potential implies the nodes’ high efficiency in disseminating information in the network. Advertisers may want to look for the group of nodes that has the highest joint sales potential and hire them as advertising

調(diào)情

Evolutionary Multi-objective Scheduling for Anti-Spam Filtering Throughput Optimizationcation quality criteria (False Positive and False Negative error rates) and email messages classification time (minimization). This approach is compared to single objective problem formulations found in the literature, and its advantages for decision support and flexible/adaptive anti-spam filtering

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A Hybrid Diploid Genetic Based Algorithm for Solving the Generalized Traveling Salesman Problemroblem (TSP). The GTSP is characterized by the fact that the vertices of the graph are partitioned into a given number of clusters and we are looking for the minimum cost tour that visits exactly one vertex from each cluster. The goal of this paper is to present a novel method for solving the GTSP,

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Hypersphere Universe Boundary Method Comparison on HCLPSO and PSO representative of swarm intelligence Particle Swarm Optimization (PSO). The goal is to the compare this method to the classical version of these algorithms. The comparisons are made on CEC’17 benchmark set functions. The experiments were carried out according to CEC benchmark rules and statisticall