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followers: 3.0 following: 12.0 repos: 116.0 gists: 0.0

Name: Min Liu

Type: User

Company: School of Computer Science and Engineering, Hunan University of Science and Technology

Bio: I am with the School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan 4111201, China

Location: Xiangtan, China

Min Liu's Projects

libol icon libol

Library for Online Learning algorithms

machine-learning-learning-notes icon machine-learning-learning-notes

周志华《机器学习》又称西瓜书是一本较为全面的书籍,书中详细介绍了机器学习领域不同类型的算法(例如:监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等),记录了本人在学习过程中的理解思路与扩展知识点,希望对新人阅读西瓜书有所帮助!

mapmatching icon mapmatching

腾云阁高精度车辆追踪算法大赛。给定地图数据和汽车的gps定位数据,通过地图匹配算法得出汽车行驶过了哪些道路

memerep icon memerep

code for "community preserving network embedding based on memetic algorithm"

mfstsp icon mfstsp

Test problems and source code for solving the Multiple Flying Sidekicks Traveling Salesman Problem (mFSTSP)

modpso icon modpso

MODPSO code for paper "Complex Network Clustering by Multiobjective Discrete Particle Swarm Optimization Based on Decomposition"

moea-d-fd icon moea-d-fd

This project is for dealing with dynamic multiobjective optimization problems using a Multiobjective Evolutionary Algorithm.

moead-py icon moead-py

A Python implementation of the decomposition based multi-objective evolutionary algorithm (MOEA/D)

nsga-ii icon nsga-ii

This is a python implementation of NSGA-II algorithm. NSGA is a popular non-domination based genetic algorithm for multi-objective optimization. It is a very effective algorithm but has been generally criticized for its computational complexity, lack of elitism and for choosing the optimal parameter value for sharing parameter σshare. A modified version, NSGA II was developed, which has a better sorting algorithm , incorporates elitism and no sharing parameter needs to be chosen a priori.

nsga-ii-1 icon nsga-ii-1

多目标优化遗传算法,python实现&动态展示过程

nsga-net icon nsga-net

NSGA-Net, a Neural Architecture Search Algorithm

online-learning icon online-learning

Python implementations of Machine Learning Algorithms for the Online Setting

os161 icon os161

ops-class.org OS/161 sources.

platemo icon platemo

Evolutionary multi-objective optimization platform

platypus icon platypus

A Free and Open Source Python Library for Multiobjective Optimization

pmtk3 icon pmtk3

Probabilistic Modeling Toolkit for Matlab/Octave.

py-ga-vrptw icon py-ga-vrptw

A Python Implementation of a Genetic Algorithm-based Solution to Vehicle Routing Problem with Time Windows

pymoo icon pymoo

NSGA2, NSGA3, R-NSGA3, MOEAD, GA, DE,

pytorch-drl4vrp icon 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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