Learning Algorithm for Chaotic Dynamical Systems That Solve Optimization Problems

摘要

A learning algorithm is introduced for chaotic dy- namical systems that solve nonlinear optimization prob- lems. The algorithm controls the asymptotic measure of a chaotic dynamical system that searches for the optimum solution and improves the efficiency of chaotic search dynamics. Using several instances of 1-and 2-dimensional nonlinear optimization problems, the performance of the learning algorithm is demonstrated.