Multi-agent integrated simulation of power science and technology innovation based on combined ge-netic algorithm
Since the results of the power science and technology are generally crossed,in order to reduce the time-consuming and energy loss of integrated power science and technology innovation achievements,the multi-agent integrated simulation of power science and technology innovation achievements based on combined genetic algorithm is studied.The power science and technology innovation resources in the under-lying database are allocated to the three agent modules of association database,comprehensive evaluation and expert evaluation through various interfaces.Through the combined genetic algorithm combining the ad-vantages of genetic algorithm and ant colony algorithm,the problem of multi-agent integrated task allocation is optimized to realize the efficient integration of power ccience and technology innovation achievements.Experiments show that the algorithm has high optimization ability and fast solution speed,which can in-tegrate the information of electric power scientific and technological innovation achievements in a planned and structured way,and has the advantages of less time-consuming and low energy loss,which could pro-vide new ideas for scientific and technological innovation and achievement transformation.
万方数据
维普
