Results 201 to 210 of about 1,901,812 (345)

Dynamic job shop scheduling under multiple order disturbances using deep reinforcement learning. [PDF]

Sci Prog
Sun Z, Han W, Gao L, Zhu C, Lyu Q.
europepmc   +1 more source

Approximation schemes for job shop scheduling problems with controllable processing times [PDF]

, 2004
Klaus Jansen, Monaldo Mastrolilli, Roberto Solis-Oba   +2 more
openalex   +1 more source

Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics

Advanced Engineering Materials, EarlyView.
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani, Aditi Singh, Behnam Ashrafi   +2 more
wiley   +1 more source

An improved scatter search algorithm for solving job shop scheduling problems with parallel batch processing machine. [PDF]

Sci Rep
Wang H, Xiong H, Zuo W, Shi S.
europepmc   +1 more source

Order Management and Completion Date Prediction of Manufacturing Job-Shop Based on Deep Learning.

Comput Intell Neurosci, 2022
Wang M.
europepmc   +1 more source

A DNA algorithm for the job shop scheduling problem based on the Adleman-Lipton model. [PDF]

PLoS One, 2020
Tian X, Liu X, Zhang H, Sun M, Zhao Y.
europepmc   +1 more source

An Improved Local Search Method for Solving Job Shop Scheduling Problems

, 2001
Toshiharu Nakano, Ya Jie Tian, Nobuo Sannomiya   +2 more
openalex   +2 more sources

Consolidate Overview of Ribonucleic Acid Molecular Dynamics: From Molecular Movements to Material Innovations

Advanced Engineering Materials, EarlyView.
Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley   +1 more source

Data-driven automated job shop scheduling optimization considering AGV obstacle avoidance. [PDF]

Sci Rep
Tang Q, Wang H.
europepmc   +1 more source

A tabu search algorithm for scheduling a single robot in a job-shop environment

, 2002
Johann L. Hurink, Sigrid Knust
openalex   +1 more source