Simulation of investment income based on antibody concentration and chaos particle swarm
Ye Yang · Jisuanji gongcheng yu sheji · 2014
To improve the prediction accuracy of optimized investment income,an investment income based on antibody concentration and chaos particle swarm is proposed.The chaotic decision making mechanism is used to search for local solutions,and through the calculation of the fitness value of each particle according to population probability of particles concentration of immune factors generated different concentrations of the candidate particles,making the low fitness particles have a higher probability of population evolution,and then the chaos decision is used to assess the involved search the chaotic solution particles and space.The algorithm is comparison tested in the standard functions,the results show that the proposed algorithm has better convergence rate,the solution precocious is avoided,and same algorithm is used to optimize the return on investment examples of simulation,diagramsand simulation results show that the algorithm can effectively obtain the optimal value of investment income projections,making optimal investment income ratio has better practicability.