This paper utilizes the concept of robust design to conduct uncertainty-based design optimization under mixed random and interval uncertainties. Specifically, the reliability-based design optimization (RBDO) framework is used to handle random uncertainty, while the robust counterpart of RBDO is constructed using the mi...
Jia-Wei Wang, Chun-Yan Ling, Shun-Qi Zhang et al.· Journal of Reliability Scien...· 0 citations
When the geometry and connectivity of a truss are fixed, efficient material utilization under strength, serviceability, and stability constraints is addressed as a size optimization problem. This study presents a comparative study of the material minimization of a truss structure by using three optimization algorithms:...
Reginald J. Fernandes, Amit A. Kusanale· International Journal of Civ...· 0 citations
Within the current steelmaking and continuous-casting (SCC) production, the growing differentiation in the production processes stemming from the product diversification, brings about great difficulties in solving the SCC scheduling problem, and decreases pitifully the possibility of ascertaining the duality gap which...
Da-Yong Han, Jin-Lei Tan, Yu-Qi Yang· International Symposium on N...· 0 citations
A simulation-based optimization framework that implements discrete-event simulation with evolutionary search methods to optimize stochastic manufacturing systems efficiently is investigated, enabling more reliable parameter tuning with reduced computational effort and facilitating the implementation of digital twin tec...
Gábor Ruzicska, Levente Czégé· Journal of Manufacturing and...· 0 citations
In this study, we present a new approach for the optimized scheduling of maintenance tasks in electric power distribution networks based on a classic optimization technique. The original mixed-integer non-linear programming model is linearized using the piecewise linearization technique, adopting a classical pseudo-dyn...
Marcelo G. Sebastiao, J. Mantovani· IEEE Access· 0 citations
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