... prediction. Commonly used statistical methods contain autoregressive moving average, Winner process, Gaussian process, and so on. Intelligent methods can ... multi-AGV system can execute the transportation task in Introduction 7.

Abstract: In the context of the growing smart manufacturing, task scheduling systems based on multi-load automated guided vehicles are attracting attention.

... multi-UAV task assignment and path planning problem. While the two tasks are optimization problems that are commonly ... prediction of the actions of other agents in a decoupled manner. However, learning others' behaviors ...

This edited volume is targeted at presenting the latest state-of-the-art methodologies in "Hybrid Evolutionary Algorithms".

... predict the final delivery of the product they are tracking , it is not important that they predict the detailed behaviour of each HCD ( e.g. , the precise trajectory of an AGV ) . In the next section we describe a general model for a ...

This book presents select peer-reviewed proceedings of the International Conference on Advances in Mechanical Engineering (ICAME 2020).

This book presents new insights and successful solutions to the operational problems of automated container terminals and cargo systems.

... AGV. They applied artificial neural network to realize the learning of preference function and analyzed the adaptive scheduling ... multi-agent reinforcement learning method which scored and learned the selection of paths. Digital twin ...

In general, the projects presented in this volume prove that new mathematical ideas and methods can be decisive for the solution of industrial and economic problems.