zangzelin/Deep-Q-learning-DQN-for-job-shop

Stars
35
Rank 750,836 (Top 15 %)
Language
Python
Created over 5 years ago
Updated over 5 years ago

zangzelin/Deep-Q-learning-DQN-for-job-shop

zangzelin

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

This is the python code of deep q learning method for job shop problem with keras.

Auto-encoder-AE-SAE-DAE-CAE-DAE-with-keras-in-Mnist-and-report

code_Must

DEEPRL-for-Job-Shop-problem

Use reinforcement learning to solve jssp problems, using ZLP data sets

2018-Graduate-Mathematical-Modeling-Competition-B

This project is the problem solving code for the Question B of the graduate mathematics modeling competition. Modeling of Fibre Channel and Fiber Network Value

code_ECCV2022_DLME

MOEAD-chinese-comments-code

code_diffaug

code_EVNet_DMTEV

DiffAug

HDNNMv2.0

use a new DNN net work to solute the job shop problem, deep learning method named HDNNM

car-long-term-forecasting-lstm

Long-term forecasting of traffic flow using the lstm method

Jupyter Notebook

code_san_share

matlab-job-shop-gitshare

Use the GA method to solve the jobshop problem, the notes are detailed

zangzelin-HDNNM

Same Structural JSSP Scheduling Method Based on Hybrid Deep Neural Network Method - Source code

Optimal-Binary-Exchange-Method-On-Server-Sechduling-TianChi-AGSIC2018

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 constraints. I have tried to use PYHON, MINZINC, GUROBI and other tools to solve, using the firstfit method, localsearch method and random algorithm.

Probabilistic-greedy-method-for-server-scheduling

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. It is a good starting method.

paper_code_DMAGE

Paper for "Unsupervised Deep Manifold Attributed Graph Embedding".

Flowshop-ZLP-generate-code-with-Minizinc

This project is used to generate problems with flowshop problems and solutions to solve problems using the minizinc modeling tool.

code_USD

JSSP-problem-set-ZLP

A data set that measures the level of excellence of learning algorithms, automatically generated JSSP questions, including generated code and several examples

DS_theory_python_code

thyroid-project

Big-data-server-scheduling-1

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 constraints. I have tried to use PYHON, MINZINC, GUROBI and other tools to solve, using the firstfit method, localsearch method and random algorithm.

Flowshop-HDNNM

This article uses the HDNNM method to solve the flowshop problem.

tsp-hopfield

Solution to the traveling salesman problem using Hopfield Network

Deep_frist_searching_al_to_solve_eight_numbrt_question

water_predict_ann

GA_TSP_problem_used_in_robot

Correlation-Analysis-between-Consumer-Price-Index-and-Service-Price-Index

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 development tool, the correlation coefficient is calculated on a monthly basis, and the correlation curve is drawn.

GMDH_python_code

hdnnmsubmitcodemodel

Fish_Swarm_Algorithm_matlab_code

deepScheduling

only use for project of zjut.

Four-rotor-aircraft-STC15

dual-world-network-model

Double world network matlab code

code_dmthi

Text-Information-Classification-Model-for-Medical-Big-Data-Processing