A Particle Swarm Optimization Algorithm with An Adaptive Escape for A Ring Full Interconnection Structure

In order to improve particle swarm optimization algorithm in the solution space to find excellent performance, put forward a with adaptive escape mechanism based on ring interconnection topology of particle swarm optimization algorithm (RSEPSO). In the algorithm, the particle population composition ring structure is connected with perfect interconnection structure. At the same time in order to prevent the algorithm into local extremum, join in adaptive algorithm escape function, selection of poor fitness particles were redistributed, and into high quality particles in the ring as the object of learning. Generate enough points to re search, to obtain the global optimal value. Through 6 standard test function optimization, compared with other algorithms, the RSEPSO can obviously improve the performance of particle swarm optimization algorithm.