Hello, <\/p>\n
I think my Lumerical optimizations are not accurately finding the true optimum. I am optimizating with respect to seven variables, and I am using the particle swarm optimization (the only tool available besides “user defined” optimizations). My “Maximum generations” is set to 100, my “Generation size” is set to 30, and my tolerance set to 0.0005 (which are more stringent than the default of 10, 5, and 0, respectively). My optimization ran 16 generations before ending with a result.<\/p>\n
I think the optimization is not working well because I can acheive quite better results by rerunning it. Furthermore, the optimization is not sampling data points around the best parameter set. For instance, the best value for the parameter “x_span” was found as 772.228 nm, but no points within 3 nm of that point have been simulated. Within the 760-780 nm range, only a few x_span data points have been sampled – and most of those simulations don’t have the other parameters near their maximum values.<\/p>\n
Is there something wrong with my use of particle swarm here? Should I consider using a user-defined optimization algorithm?<\/p>\n","protected":false},"template":"","class_list":["post-294426","topic","type-topic","status-closed","hentry","topic-tag-optimization"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t