In this paper, we proposed an algorithm for solving the problem of task scheduling using particle swarm optimization algorithm, with changes in the Selection and removing the guide and also using the technique to get away from the bad, to move away from local extreme and diversity. Scheduling algorithms play an important role in grid computing, parallel tasks Scheduling and sending them to ...

Compared with Computational Grid, the Information Grid currently has no clearly definition. In terminology of the Shanghai Information Grid, to meet the requirement of Information Grid, we design a QoS-aware Information Service which can provide efficient search ability and reliable Index Service and the Information Grid Portal which acts as an access point to Information

Decentralized control of robots has attracted huge research interests. However, some of the research used unrealistic assumptions without collision avoidance. This report focuses on the collision-free control for multiple robots in both complete coverage and search tasks in 2D and 3D areas which are arbitrary unknown. All algorithms are decentralized as robots have limited abilities and they ar...

Given finite sets P and T of points in the Euclidean space R, the point pattern matching problem studied in this paper is to find all translations f ∈ R such that P + f ⊆ T . A fast search algorithm with some variants is presented for point patterns P that have regular grid–like geometric shape. The algorithm is analogous to the Knuth–Morris–Pratt algorithm of string matching. The time requirem...

Jump Point Search, an algorithm developed for fast search on uniform cost grids, has successfully improved the performance of grid-based search. But, the approach itself is actually a set of diverse ideas applied together. This paper decomposes the algorithm and gradually re-constructs it, showing the component pieces from which the algorithm is constructed. In this process, we are able to defi...

Scheduling is one of the core steps to efficiently exploit the capabilities of emergent computational systems such as grid. Grid environment is a dynamic, heterogeneous and unpredictable one sharing different services among many different users. Because of heterogeneous and dynamic nature of grid, the methods used in traditional systems could not be applied to grid scheduling and therefore new ...

In this paper, we proposed an algorithm for solving the problem of task scheduling using particle swarm optimization algorithm, with changes in the Selection and removing the guide and also using the technique to get away from the bad, to move away from local extreme and diversity. Scheduling algorithms play an important role in grid computing, parallel tasks Scheduling and sending them to ...

Support Vector Machines (SVM) learning can be used to construct classification models of high accuracy. However, the performance of SVM learning should be improved. This paper proposes a bilinear grid search method to achieve higher computation efficiency in choosing kernel parameters (C, γ) of SVM with RBF kernel. Experiments show that the proposed method retains the advantages of a small numb...