The Interference Resource Allocation Method Based on Improved Whale Optimization Algorithm
For the cooperative jamming of multiple jammers to networked radar system,under the premise of solving multi-objective combinatorial optimization problem,to solve the issue that ex-cessively large resource allocation scales often leads to local convergence issues,a new individual updating method based whale optimization algorithm(WOA)is proposed.The encoding between individuals is generated through character crossing and comparison with optimization objectives,which prevents the issues that may arise during the traditional encoding update process due to in-sufficient compilation rules,while the key characters in the original encoding are retained to en-hance the optimization capability of the original algorithm.The number of updates within the whale optimization algorithm is determined by the best and worst individuals in the whale pod,which ensures the algorithm has the ability to escape local convergence to a certain extent and en-hances the diversity of the population,thereby the algorithm's optimization capability is further im-proved.Simulation results show that,compared with other swarm intelligence algorithms in recent years,the improved whale optimization algorithm(IWOA)has higher convergence stability and superior global optimization capability,and it can solve multi-objective combination optimization problems.
万方数据
维普
