Patent ID: 11886786
Assignee: FUZHOU UNIVERSITY
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 6:
7. The two-step X-architecture Steiner minimum tree construction method according to claim 1, wherein the new social learning strategy in S13 is specifically as follows:
first, all particles in a current swarm are sorted in an increasing order according to the fitness, and for each particle, particles before the particle forms an example pool of the particle; then, in each iteration, the particle randomly selects a particle from its example pool as a learning object; when the learning object selected by the particle is the first particle in the example pool, the learning object of the particle is an optimal particle in the swarm; next, the particle learns historical optimal experience from the learning object to complete a corresponding social learning behavior; in this process, different particles have different social learning objects; the example pools of the same particle are not always the same in different iterations; so, the particle no longer merely learns from the optimal particle in the swarm, and any better particle in the current swarm may be the learning object of the particle; and this learning process allows the particles to continuously learn from different better individuals during evolution to realize self-improvement to facilitate diversified development of the swarm, which makes it possible to explore a better XST model.