I have used swarm optimization methods that have consistently provided better solutions than alternatives for optimizations of solution spaces in alterst 3 different domains. I am not sure what you are talking about.
> I have used swarm optimization methods that have consistently provided better solutions than alternatives for optimizations of solution spaces in alterst 3 different domains.
Benchmark your PSO implementation against a) a naive Monte Carlo implementation with an uniform distribution, b) low-discrepancy sequence, c) a global optimization algorithm such as DIRECT, and compare convergence rates.
I'd be surprised if your PSO implementation did not competed for the last place in terms of function evaluations.
Unfortunately I don’t currently have access to this data. I can tell you that it’s leagues better than any Monte Carlo implementation as I have done this comparison as a litmus test for several population based algorithms in the past. I I’ll look into making a comparison with DIRECT when I have time (not anytime this month)
Benchmark your PSO implementation against a) a naive Monte Carlo implementation with an uniform distribution, b) low-discrepancy sequence, c) a global optimization algorithm such as DIRECT, and compare convergence rates.
I'd be surprised if your PSO implementation did not competed for the last place in terms of function evaluations.