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Open access Sep 2026

Reliability-based robust design optimization under hybrid random and interval uncertainties

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. · 0 citations
Open access Sep 2026

Efficient Material Utilization in Truss Structures Using Deterministic and Metaheuristic approach

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 · 0 citations
Sep 2026

A modified augmented lagrange multiplier method for production scheduling within steelmaking plants

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 · 0 citations
Open access Aug 2026

A Simulation-Based Optimization Framework of Stochastic Manufacturing Systems Using External Optimizer

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 · 0 citations
Open access 2026

A Heuristic Approach for the Optimization of Maintenance Task Plans in Electric Power Distribution Systems With Resource Constraints

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 · 0 citations

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