|
|
|
|
|
Zilin Zhao, Zhi Cai, Mengmeng Chang and Zhiming Ding
Unconventional events exacerbate the imbalance between regional transportation demand and limited road network resources. Scientific and efficient path planning serves as the foundation for rapidly restoring equilibrium to the road network. In real large...
ver más
|
|
|
|
|
|
|
|
|
Yu-Hung Chang, Chien-Hung Liu and Shingchern D. You
The dynamic flexible job-shop problem (DFJSP) is a realistic and challenging problem that many production plants face. As the product line becomes more complex, the machines may suddenly break down or resume service, so we need a dynamic scheduling frame...
ver más
|
|
|
|
|
|
|
|
|
Napsu Karmitsa, Sona Taheri, Kaisa Joki, Pauliina Paasivirta, Adil M. Bagirov and Marko M. Mäkelä
In this paper, a new nonsmooth optimization-based algorithm for solving large-scale regression problems is introduced. The regression problem is modeled as fully-connected feedforward neural networks with one hidden layer, piecewise linear activation, an...
ver más
|
|
|
|
|
|
|
|
|
Bin Yu, Zhao Xu, Ruinan Mu, Anping Wang and Haifeng Zhao
Thermal expansion is inevitable for space structures under the alternating temperature of outer space around the earth. This may lead to the thermal stress and deformation due to the mismatch of the coefficient of thermal expansion. Near-zero thermal exp...
ver más
|
|
|
|
|
|
|
|
|
Chuwei Jin, Shanhong Li, Linna Zhang and Damin Zhang
This paper studies the joint optimization of the threshold setting of large parcels, the location selection of multi-functional transit centers, and the allocation of terminal demand points under the implementation of multi-product (parcel) distribution ...
ver más
|
|
|
|