Research And Design Of Particle State Partition And Transformation In Physical Optimization Algorithm

The intelligent optimization algorithm inspired by swarm intelligence behavior simulates the behavior of biological groups,and the intelligent optimization algorithm inspired by physical principles simulates the objective rule of physical system.In order to enrich the swarm intelligence method,in this paper,the optimization algorithm based on physics is taken as the research object.Aiming at the problem that many algorithms only use a single motion rule and can not effectively balance the global search ability and local search ability,the physical optimization algorithms based on multi-state is proposed.Firstly,the mapping relationship between the physical system and optimization algorithm is constructed,and the basic framework of the physical optimization algorithm based on multi-state is proposed.Then,the attribute sets,the rules of motion and the conditions of the transformation between the states of the objects are constructed for the particles in the optimization algorithm,and the physical optimization based on multi-state is proposed for the basic framework,.In order to verify the effectiveness of the algorithm,the algorithm is compared with APO algorithm and EAPO algorithm.Experiments show the effectiveness of the algorithm.Secondly,two kinds of environmental indicators and new objects are introduced and suitable motion rules and state transformation conditions for new objects are constructed,in order to simulate the process of physical state transformation in physical system more reasonably and improve the accuracy of the algorithm.Then,three kinds of algorithm flow for different environment indexes and different states conditions are put forward.Through experimental comparison and analysis,it shows that the accuracy of the three algorithms has been improved.Finally,the performance optimization model of the viscoelastic suspension damping layer structure is taken as the research object,and the optimization of the multi-state physics optimization algorithm based on the environmental index is used to optimize it.The proposed algorithm is used to optimize the model,andthe experimental results show that the intelligent algorithm is effective for the performance optimization model of the viscoelastic suspension damping layer structure.