Social network security using genetic algorithm

TL;DR: The study investigates an ACVRP for a bread distribution network in Istanbul, Türkiye, using GA to optimize the transportation network.

TL;DR: The construction of power system multi Network monitoring platform is realized by integrating the knowledge of genetic algorithm, neural network and monitoring technology by integrating the knowledge of genetic algorithm, neural network and monitoring technology.

TL;DR: Back analysis of shear strength parameters of slope based on BP neural network and genetic algorithm is an efficient and accurate method to obtain shear strength parameters of slopes based on information such as the radius and center coordinates of the slip surface.

TL;DR: This article proposes a method for detecting communities, built around the idea of using centrality indices to find community boundaries, and tests it on computer-generated and real-world graphs whose community structure is already known and finds that the method detects this known structure with high sensitivity and reliability.

TL;DR: It is demonstrated that the algorithms proposed are highly effective at discovering community structure in both computer-generated and real-world network data, and can be used to shed light on the sometimes dauntingly complex structure of networked systems.

TL;DR: The major concepts and results recently achieved in the study of the structure and dynamics of complex networks are reviewed, and the relevant applications of these ideas in many different disciplines are summarized, ranging from nonlinear science to biology, from statistical mechanics to medicine and engineering.

TL;DR: An algorithm is described which gives excellent results when tested on both computer-generated and real-world networks and is much faster, typically thousands of times faster, than previous algorithms.