Research on Leaning and Evolutionary Algorithm of Agent for Task Oriented

Abstract

The leaning and evolutionary (L&E) algorithm of Agent for task oriented is deeply researched in this paper. Based on the relationship between tasks and the executive Agent, the importance of the research has been elaborated. Moreover, the algorithm is improved by considering the effect of environment and network structure. Reinforcement leaning and complex network have been introduced into the nonlinear genetic algorithm. Finally, some simulations of equipment acquisition tasks are made to test the validity and capability of the algorithm.