zilong zhuang (ilosea)

ilosea

Geek Repo

Company:BUAA&SJTU

Location:shanghai,minhang

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zilong zhuang's repositories

academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

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metaheuristic-algorithms-HFSP

Öztop H, Tasgetiren M F, Eliiyi D T, et al. Metaheuristic algorithms for the hybrid flowshop scheduling problem[J]. Computers & Operations Research, 2019, 111: 177-196.

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constructive-heuristic-MC-VRPSD

Reproduction of Constructive Heuristics for the Multicompartment Vehicle Routing Problem with Stochastic Demands

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example-GA

An example of Genetic Algorithm

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kubernetes

Production-Grade Container Scheduling and Management

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OnlinePrintingShopSchedulingProblem

Mixed Integer Linear Programming and Constraint Programming Models for the Online Printing Shop Scheduling Problem

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OpenShopScheduling-1

A new optimisation method for open-shop scheduling with arbitrary constraints based on simulated annealing and genetic algorithms

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OpenShop-CPP

A C++ implementation of my new optimisation method for open-shop scheduling with arbitrary constraints

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Optimal-Path-Planning-Deep-Reinforcement-Learning

Optimal Path Planning with Deep Reinforcement Learning

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DeepRLVehicularLocalization

Decentralized Scheduling for Cooperative Localization with Deep Reinforcement Learning

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RLSched

A Scheduler Based on Deep Reinforcement Learning

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Advanced-Planning-Using-RL

Implements the algorithm introduced in the paper "Advanced Planning for Autonomous Vehicles using Reinforcement Learning and Deep Inverse Reinforcement Learning" published in Robotics and Autonomous Systems, Vol. 114, pp. 1-18, 2019

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Optimization-Methods

Using Heuristic Rules, Meta-Heuristic and Hyper-Heuristic approach to solve Job Shop Scheduling Problem.

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jssp-solver

Job Shop Scheduling Problem Solver

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Genetic-algo-schduling

An implementation of a genetic algorithm to find an approximate solution for the open shop scheduling problem

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UCL-DeepReinforcementLearning

一门由AlphaGo项目负责人David Sliver,在UCL(伦敦大学)主讲的强化学习经典课程

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pytorch-drl4vrp

Implementation of: Nazari, Mohammadreza, et al. "Deep Reinforcement Learning for Solving the Vehicle Routing Problem." arXiv preprint arXiv:1802.04240 (2018).

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MyBooks

my books

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WFRL

Workflow scheduling use deep reinforcement learning

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MKP

Heuristic Solver for the Multidimensional Knapsack Problem

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Job_Shop_Scheduling

this repository is used to test alghoritms for job shop scheduling problem

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cjs-instances

Instances and Results for Complex Job-Shop Scheduling Problems

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abu

阿布量化交易系统(股票,期权,期货,比特币,机器学习) 基于python的开源量化交易,量化投资架构

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fullstack-data-engineer

全栈数据工程师养成攻略

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state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

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openalpr

Automatic License Plate Recognition library

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keras-blog

Blog with Keras news, tutorials, and demos.

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deep-learning-models

Keras code and weights files for popular deep learning models.

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