shicindy Goto Github PK

challenges

drl_binpacking

3D bin packing is a classical and challenging combinatorial optimization problem in logistics and production systems. An effective bin packing algorithm means the reduction of total packing cost and increase in utilization of resources. Because the cost of packing materials, which is mainly determined by their surface area, occupies the most part of packing cost, and in many real business scenarios there is no bin with fixed size, so AI Department of Cainiao proposed a new type of 3D bin packing problem. The objective of this new type of 3D bin packing problem is to pack all items into a bin with minimized surface area. And a DRL method based on the sequence-to-sequence model is proposed to solve the problem. This is the research paper link: https://arxiv.org/abs/1708.05930. Source code of this method can be found in the project.

hello-world

'hello-world' repository

huawei-codecraft2018

2018华为软件精英挑战赛，预测方案使用线性回归：差分+高斯核局部加权+岭回归拟合，放置方案采用随机启发式搜索：模拟退火+首次适应

power-flow-calculation

Python N-Lmethod

powerflowcalculation

电力系统潮流计算 using Python

put_flavors_sa

2018华为软件精英挑战赛，采用模拟退火算法+首次适应算法寻找最优化放置虚拟机方法。

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

released-hws

vmsscheduling

2018阿里巴巴全球调度算法大赛