{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,6]],"date-time":"2024-09-06T23:46:02Z","timestamp":1725666362329},"reference-count":0,"publisher":"ECMS","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,6,23]]},"abstract":"<jats:p>SimBO is a flexible framework for optimizing discrete event-driven simulations (DES) using sequential optimization algorithms. While specifically designed for Bayesian Optimization (BO) in the context of DES, SimBO can be applied to any black-box problem with other optimization algorithms. The framework consists of four encapsulated components - the black-box problem, the sequential optimization algorithm, a database for experiment configuration and results, and a web-based graphical user interface - that communicate via well-defined interfaces. Each component can be run in different environments, allowing for cooperation between different hardware- and software configurations. In our research context, SimBO\u2019s architecture enabled BO algorithms to be run on a high-performance cluster with GPU support, while the simulation is executed on a local Windows machine using the Simio simulation software. The framework\u2019s flexibility also makes it suitable for evolving from a research-focused tool to a production-ready, cloud-based optimization tool for modern algorithms.<\/jats:p>","DOI":"10.7148\/2023-0222","type":"proceedings-article","created":{"date-parts":[[2023,8,16]],"date-time":"2023-08-16T07:46:57Z","timestamp":1692172017000},"page":"222-228","source":"Crossref","is-referenced-by-count":0,"title":["SimBO - A Framework For Simulation-Based Optimization Using Bayesian Optimization"],"prefix":"10.7148","author":[{"given":"Philipp","family":"Zmijewski","sequence":"first","affiliation":[]},{"given":"Nicolas","family":"Meseth","sequence":"additional","affiliation":[]}],"member":"4144","published-online":{"date-parts":[[2023,6,23]]},"event":{"name":"37th ECMS International Conference on Modelling and Simulation"},"container-title":["ECMS 2023 Proceedings edited by Enrico Vicario, Romeo Bandinelli, Virginia Fani, Michele Mastroianni"],"original-title":[],"deposited":{"date-parts":[[2023,8,16]],"date-time":"2023-08-16T07:47:09Z","timestamp":1692172029000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.scs-europe.net\/dlib\/2023\/2023-0222.html"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,23]]},"references-count":0,"URL":"https:\/\/doi.org\/10.7148\/2023-0222","relation":{},"subject":[],"published":{"date-parts":[[2023,6,23]]}}}