Improved particle swarm optimization algorithm for solving constrained optimization problems
Gao Yue-lin · Journal of Lanzhou University of Technology · 2011
An improved particle swarm optimization algorithm was proposed for solving constrained optimization problems.In this algorithm,the influence of current global optimal particle and current individual optimal particles on particle swarm search ability was much more take into considering,and the updated velocity formula was modified,Then the modified feasibility-based rule was used to update the individual optimal and global maximum,so that the infeasible particles were guided to become feasible ones in order to increase the diversity of population and improve the global search ability.Numerical simulation showed that this algorithm was a global optimization algorithm with higher efficiency,stability,and computation accuracy.