Grid Task Scheduling Algorithm Based on Non-Conflict Degree

Abstract

To solve the multi-objective conflict problem of independent task scheduling in grid computing, model the system along the direction of multi-objective gradient, give the model solution procedure, propose grid scheduling algorithm based on multi-objective non-conflict degree, that is, application of gradient ascent method does a quadratic optimization for the global optimal solution obtained by genetic algorithm, compensate for the GA (genetic algorithm) deficiency in the ability of local search. The experiments demonstrate that the proposed algorithm is better than other tasks scheduling algorithms simply using GA.

Spatio-Temporal Evolution and Multi-Scenario Simulation of Non-Grain Production on Cultivated Land in Jiangsu Province, China

“…We categorized cultivated land into GPCL and NGPCL, and the land use maps of different time periods were spatially superimposed by using ArcGIS to derive the transfer matrix of the land use types in order to characterize the conversion between the land use types. The mathematical expression is as follows [33,34]: where P denotes the area of each LULC type; i and j denote the area of LULC types at the beginning and end of the study period, respectively; and n denotes the total number of LULC types. Each row and column represents the outflow and inflow areas, respectively.…”