A New Hybrid Algorithm Based on Grey Wolf Optimization and Crow Search Algorithm for Unconstrained Function Optimization and Feature Selection

Grey wolf optimizer (GWO) is a very efficient metaheuristic inspired by the hierarchy of the Canis lupus wolves.It has been extensively employed to a variety of practical applications.Crow search algorithm (CSA) is a recently proposed metaheuristic algorithm, which mimics the intellectual conduct of 6939119013844 crows.In this paper, a hybrid GWO w

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Reciprocal Estimation of Pedestrian Location and Motion State toward a Smartphone Geo-Context Computing Solution

The rapid advance in mobile communications has made information and services ubiquitously accessible.Location and context information have become essential for the effectiveness of services in the era of mobility.This paper proposes the concept of geo-context that is defined as an integral synthesis of geographical location, human motion state and

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