Self-adaptive Ant Algorithm for Solving Real Estate Portfolio Optimization

As efficient methods of reducing the investment risks, the real estate portfolio optimization methods and models have some defects. The information entropy was used as the risk measuring index, and a self-adaptive ant algorithm with a changing index was proposed to overcome the deficiency of the basic ant algorithm. Then the improved algorithm was introduced into the real estate portfolio. And the application results indicated that this method has better convergence, stability and robustness in solving the combinatorial optimization problems.