Rosenbrock function optimization functions are unconstrained optimization problems, its global minimum value at a smooth parabolic shape and narrow mountain valley Department, and for the optimization algorithm provides little information, and therefore find its global minimum value becomes very difficult. According to this feature Rosenbrock function, specifically mentioning Out an improved PSO algorithm (PSO-R), the algorithm introduced trigonometric factor, using trigonometric has periodic oscillations, so that each particle to obtain more Strong oscillations of expanding the search space of each particle, the particle is close to nearby guide global minimum, avoiding premature convergence algorithm, into a local optimum, thus Finding the global minimum Rosenbrock function. Experimental results show that the algorithm has a good optimizing performance, similar to some certain areas Rosenbrock function in the optimization problem provides a new way of thinking.

PSO\GPSO_BPSO_ARPSO\ARPSO.m
...\...............\GPSO.asv
...\...............\GPSO.m
...\...............\main_bpso.asv
...\...............\main_bpso.m
...\Matlab-Programs-of-PSO\funtest.m
...\......................\improvedmypso.m
...\......................\mypso.asv
...\......................\mypso.m
...\......................\基于改进PSO算法的Rosenbrock函数优化问题的研究.pdf
...\P5-1\PSO501.m
...\GPSO_BPSO_ARPSO
...\Matlab-Programs-of-PSO
...\P5-1
PSO

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