Multi-objective Particle Swarm Optimization Algorithm Guided by Extreme Learning Decision Network
When solving multi-objective optimization problems, particle swarm optimization algorithms usually employ preset example selection methods and search strategies, which cannot be adjusted according to specific optimization states.In the face of different optimization problems, inappropriate search strategies cannot effectively guide the population,