I'm working with a client on a curve-fitting optimization problem. They are currently using a constrained Levenburg-Marquardt optimizer for their task which is complex, slow, and sometimes gets stuck in local minima. I suggested using particle swarm optimization (PSO), and the client suggested genetic algorithms (GA). I would like to compare the existing method to at least these two other options. For this first phase, I don't need to worry about speed or GPU-friendliness. I would like data visualization to be easy. I have experience with scikit-learn, and I just discovered scikit-opt. I have also found several other packages which implement only PSO, or only GA. Is anyone out there using scikit-opt? What do you think of it? If you have used other PSO or GA packages, what do you think of those? Thanks for any advice you may have. submitted by /u/bwllc [link] [Kommentare]

Everything works fine, just for these maze of cables, I have run out of ideas, how do I actually get rid of the mess? I am using 2 16 channel servo drivers. all 18 (plus 2 for camera) are connected to those 2. I am using a buck converter on top and a 4200 MAH battery. The raspberry pi relays all info to my laptop and it control the motion additionally i also need space to put an imu sensor over it. Help !! submitted by /u/Grand-Station-6886 [link] [Kommentare]