A new algorithm for calibrating agent-based models is proposed, which employs a popular gradient boosting framework. Machine learning techniques are not used to develop a surrogate model, but rather assist in narrowing down the parameter space during the search for optimal parameters. Our...

The main idea to author this article is to “Popularize Artificial Human Optimization Field like never before by showing an Overview of this new field”. This idea can be divided into following sub-ideas:1) To show the definition of “Artificial Human Optimization Field (AHO Field)”2) To...