Improved Ant Colony Algorithm for real estate portfolio optimization

摘要

To find an effective algorithm to optimize the real estate portfolio,an improved Ant Colony Algorithm based on information entropy was proposed.The information entropy was used to control the path selection and evolution strategy adaptively to overcome the premature convergence problem of the basic Ant Colony Algorithm.Simulation and the application results in the real estate portfolio optimization showed its efficiency for solving the portfolio optimization.The algorithm here can be employed to solve other combinatorial optimization problems.