Optimization experiment 

Hi Gonzalo! You can find it in the example models and also here in the cloud - cloud.anylogic.com/model/67411f29-6575-4568-83a3-74a22cc3eaad?mode=SETTINGS There is more info about Optimization in the help - anylogic.help/anylogic/experiments/optimization.html

@@anylogic-simulation Thank you so much!

Hello, Thank you for the question. We've investigated the issue and attempted to replicate the error using both the Genetic and OptQuest optimization engines. However, we were unable to reproduce the problem on our end. Please try to follow exactly every step from the video again. If you will continue to experience the error after following the steps from the how-to video, please submit your question and the model to support@anylogic.com so we can reproduce the problem on our end and provide you with the solution. We hope this information is helpful to you.

Hi! Yes, if a train enters and leaves a queue between the update ticks, then the statistics will not reflect this. Accuracy can be increased if a smaller update rate is defined (e.g. < 1 minute instead of 1 hour). This is a simpler way than manually updating the queue size.

The AnyLogic Company Thank you for your kindness. Have a good day!

We added the Oil Terminal model in AnyLogic 7.3.5, so probably you need to update your AnyLogic. You can conduct an optimization experiment with any other model that has parameters defined in the top-level agent (Main), but to follow this scenario you have to download AL 8.

Hi, and thank you for the question. A built-in optimization experiment supports single-objective optimization only. The experiment is powered by the OptQuest engine which supports multi-objective optimization - www.opttek.com/doc/v911engine/OptQuest_Engine_Documentation/help.html#multi-objective-optimization You can access OptQuest API in a custom experiment - anylogic.help/anylogic/experiments/custom-experiment.html#custom-experiment and set multi-objective logic. Just to let you know, we added new genetic optimizer - www.anylogic.com/blog/anylogic-8-8-4-genetic-optimization-and-pedestrian-elevators/ from AnyLogic 8.8.4. Please see the 'Optimization in Custom Experiment' example model (in AnyLogic: Help -> Example Models). It shows the implementation of optimization in Custom Experiment and opened for modifications Java class. Feel free to modify the algorithm for your needs.

We use OptQuest by OptTek Systems, you can find the author's white papers with the method description here: www.opttek.com/products/optquest/

Okey, thanks