Chaos Optimization Algorithm Based on Linear Search and Its Application to Nonlinear Constraint Optimization Problems
Zhang Chun · Kongzhi yu juece · 2001
The chaos optimization algorithm (COA) using linear search is proposed. It takes advantage of the intrinsic stochastic property and ergodicity of chaos movement to escape from the local minima. The local search ability of linear search can speed up the rate of convergence. To solve nonlinear constraint optimization problems, COA is combined with exact non differentiable penalty function. The simulation results illustrate that this method is simple and easy to implement.