Instead of converging to the max value the binary matrix is very random and the next random particle position (0,1) of the sigmoid function causes the objective to be be very low. Is this normal for BPSO. How does the solution converge for BPSO.
Have you developed your own algorithm for BPSO ? Which parameters are you having access to set your objective function ? Converge results are directly proprtional to the initialization of the parameters. This provides a harmonic equilibrium towards your objective function and the final output.
Hope it works.
Cheers !!!
What type of problem are you solving?
PSO works well in continuous optimization. If so, you may use this code:
https://www.researchgate.net/publication/312520719_A_simple_particle_swarm_optimization_code_in_Matlab
Code A simple particle swarm optimization code in Matlab
I am using it for DG allocation and i use Binary PSO for placing at DG a the bus in my system. My optimization does'nt seem to converge it just keeps exploring. I just wanted to inquire is it normal for random binary matrix to not converge. I tried varying the initial parameters but its not helping because the binary matrix is very random.
Are you generate a random binary matrix at each iteration? If so, it will not converge
- Badges
- Science topic
- Similar topics
- Social Psychology
- Values