Materialeffizienz und Statik vereint: Ein hybrider Algorithmus zur Optimierung der Kastenträger-Konfiguration

A hybrid algorithm has been created that first determines the minimal number of metal plates needed and then uses an evolutionary optimization with specially designed mutations to satisfy static constraints such as the j‑measure. By enforcing these constraints during the mutation process, a significant reduction in material waste and the number of weld seams for crane box‑girders has been achieved, surpassing earlier heuristic lookup methods. Further improvements may be obtained by integrating neural‑network‑based artificial intelligence.