{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T17:44:57Z","timestamp":1782841497176,"version":"3.54.5"},"reference-count":0,"publisher":"ECMS","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,6,23]]},"abstract":"<jats:p>Simheuristics offer a robust framework by integrating metaheuristic search capabilities with the high-fidelity modeling offered by simulation. This combination is particularly effective for capturing the complex interdependencies and procedural constraints of real-world systems. Despite these advantages, practitioners are often deterred by the perceived computational overhead of simulations compared to mathematical heuristics. However, for problems characterized by tightly coupled constraints, high-dimensional decision spaces, and event-based logic, simheuristics can offer a significant performance advantage, although this has rarely been quantified. To address this gap, we investigate a transit synchronization problem using exact, heuristic, and simheuristic approaches. Our results demonstrate that the simheuristic achieves a 0% optimality gap and, in terms of runtime, is the most stable and generally the fastest approach for large-scale instances.<\/jats:p>","DOI":"10.7148\/2026-0608","type":"proceedings-article","created":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T16:55:14Z","timestamp":1782838514000},"page":"608-615","source":"Crossref","is-referenced-by-count":0,"title":["On the computational scalability of simheuristics in high-dimensional search spaces"],"prefix":"10.7148","author":[{"given":"Philip","family":"Cammin","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jingjing","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"4144","published-online":{"date-parts":[[2026,6,23]]},"event":{"name":"40th ECMS International Conference on Modelling and Simulation"},"container-title":["ECMS 2026 Proceedings edited by Filippo Sanfilippo, Florenc Demrozi, Fabio Sgarbossa, Mohammad Poursina"],"original-title":[],"deposited":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T16:55:22Z","timestamp":1782838522000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.scs-europe.net\/dlib\/2026\/ecms2026acceptedpapers\/0608_simo_ecms2026_0108.pdf"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6,23]]},"references-count":0,"URL":"https:\/\/doi.org\/10.7148\/2026-0608","relation":{},"subject":[],"published":{"date-parts":[[2026,6,23]]}}}