Atom search optimization based on golden-sine algorithm

Atom search optimization is a new intelligent algorithm based on molecular dynamics model. In order to Improve convergence race and overcome the shortcoming of the atom search optimization which is easy to fall into the local extremum and easy to premature convergence, atom search optimization based on Golden-sine algorithm was proposed.It designs golden sine algorithm as a local optimization operator to optimizing the atom agent. The improved algorithm make each atom agent fully absorb information from the best agent, which effectively improve the optimization way of ASO and improve the convergence and accuracy of the optimization. Experiments show that the improved atom optimization algorithm has better performance.