Over the years, data centers have reinvented themselves through virtualization, the cloud and AI. The next iteration is ...

本项目以“带次模惩罚费用的平行机客户订单调度优化”为方向，研究在多台平行机的制造环境下如何有效分配和调度客户订单。次模惩罚费用机制的引入，使得调度模型可以更灵活地反映实际中的分段性惩罚需求——即拒绝订单惩罚不再是固定的，而是随着 ...

Abstract: In applied and numerical algebraic geometry, many problems are reduced to computing an approximation to a real algebraic curve. In order to elevate the results of such a computation to the ...

What would you like to Propose? Hey I saw a Feature Request for Edmond Algorithm and wanted to add another Algorithm - Edmonds Blossom Algorithm, under the data structure/graphs The Edmonds Blossom ...

Computer scientists have written a network flow algorithm that computes almost as fast as is mathematically possible. This algorithm computes the maximum traffic flow with minimum transport costs for ...

Quantum annealers can be used to solve many (possibly NP-hard) combinatorial optimization problems, by formulating them as quadratic unconstrained binary optimization (QUBO) problems or, equivalently, ...

A representation of the Ising model in a longitudinal magnetic field on a quantum computer is introduced. The ansatz of the wave function of the model for a quantum approximation optimization ...

This study introduces a novel approach for enhancing robotic path planning and navigation by optimizing point configuration through convolutional neural networks (CNNs). Faced with the challenge of ...