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Solution to the traveling salesman problem using Hopfield Network
Use the GA method to solve the jobshop problem, the notes are detailed
A data set that measures the level of excellence of learning algorithms, automatically generated JSSP questions, including generated code and several examples
Same Structural JSSP Scheduling Method Based on Hybrid Deep Neural Network Method - Source code
This project is used to generate problems with flowshop problems and solutions to solve problems using the minizinc modeling tool.
This article uses the HDNNM method to solve the flowshop problem.
This code solves the scheduling problem of a large number of servers. The 68219 tasks are scheduled to 6000 servers, taking into account the constraints of the server's cpu, MEM, DISK, and app cons…
This project uses the statistical data of Hebei Province from 2011 to 2017 to analyze the consumer consumption index and the service price index and the consumer price index. Using python3.6 as a d…
zangzelin / Genetic-Algorithm-for-Job-Shop-Scheduling-and-NSGA-II
Forked from wurmen/Genetic-Algorithm-for-Job-Shop-Scheduling-and-NSGA-IILearning how to implement GA and NSGA-II for job shop scheduling problem in python
use a new DNN net work to solute the job shop problem, deep learning method named HDNNM
Attention based model for learning to solve different routing problems
华为2019年软件精英挑战赛
This is the python code of deep q learning method for job shop problem with keras.
zangzelin / opencv_contrib
Forked from opencv/opencv_contribRepository for OpenCV's extra modules
zangzelin / keras
Forked from keras-team/kerasDeep Learning for humans
Part of the greedy algorithm used to solve the 2018 Alibaba Tianchi Competition-Server Dispatch Competition. This method ranks 66 in the preliminary round and is ranked second in the semi-finals. I…
Long-term forecasting of traffic flow using the lstm method