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Lin Guo, Anand Balu Nellippallil, Warren F. Smith, Janet K. Allen and Farrokh Mistree
When dealing with engineering design problems, designers often encounter nonlinear and nonconvex features, multiple objectives, coupled decision making, and various levels of fidelity of sub-systems. To realize the design with limited computational resou...
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Lígia Conceição, Gonçalo Homem de Almeida Correia, Bart van Arem and José Pedro Tavares
Once trusted, automated vehicles (AVs) will gradually appear in urban areas. Such a transition is an opportunity in transport planning to control undesired impacts and possibly mitigate congestion at a time when both conventional vehicles (CVs) and AVs c...
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Vladimir Krutikov, Elena Tovbis, Anatoly Bykov, Predrag Stanimirovic, Ekaterina Chernova and Lev Kazakovtsev
We investigate a solution of a convex programming problem with a strongly convex objective function based on the dual approach. A dual optimization problem has constraints on the positivity of variables. We study the methods and properties of transformat...
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Lili Tanti, Syahril Efendi, Maya Silvi Lydia and Herman Mawengkang
Disaster logistics management is vital in planning and organizing humanitarian assistance distribution. The planning problem faces challenges, such as coordinating the allocation and distribution of essential resources while considering the severity of t...
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Simegnsh Bekele Dekebo, Gi-Taek Oh and Min-Woo Lee
A moving window decision-making algorithm is proposed for the cleaning schedule optimization of heat exchanger network system subject to fouling in refinery crude preheat train. This algorithm is designed by incorporating the moving window scheme into a ...
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Jinghua Li, Ruipu Dong and Wenhao Huang
In cruise ship manufacturing, it is common practice for prefabricated modular cabin units (PMCU) to be assembled in the workshop and transported to a designated installation location on board the ship. This paper proposed a Radau pseudospectral method ba...
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Werry Febrianti, Kuntjoro Adji Sidarto and Novriana Sumarti
Portfolio optimization is an activity for balancing return and risk. In this paper, we used mean-variance (M-V) portfolio models with buy-in threshold and cardinality constraints. This model can be formulated as a mixed integer nonlinear programming (MIN...
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Yiqun Li, Shaoqiang Liang, Jiahui Gao, Zong Chen, Siyuan Qiao and Zhouping Yin
Due to the limitation of space rover onboard computing resources and energy, there is an urgent need for high-quality drive trajectories in complex environments, which can be provided by delicately designed motion optimization methods. The nonconvexity o...
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Kirill Suslov, Maksim Shirobokov and Anastasia Tselousova
This paper explores the use of the averaging method in the optimal control problem related to the multirevolution orbital transfer of a spacecraft with low-thrust capabilities. The regularized equations of motion are expressed using modified equinoctial ...
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Yanwei Zhang, Hao Zheng, Jing Xu and Zhonglai Wang
Clapping-wing micro air vehicles (CWMAVs) face many control problems due to their lightweight design and susceptibility to disturbances. This study proposes a radial basis function (RBF) model-based adaptive model predictive control (AMPC) for trajectory...
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