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Liang Zhao's Projects

code-for-iafsa icon code-for-iafsa

This is the source code for the paper "Route planning for autonomous surface vessels based on improved artificial fish swarm algorithm".

data-for-aensga-ii icon data-for-aensga-ii

This is the official source data for our paper: Achieving optimal-dynamic path planning for unmanned surface vehicles: a rational multi-objective approach and a sensory-vector re-planner

data-for-global-local icon data-for-global-local

This is the simulation data for our paper: Global-local hierarchical path planning scheme for unmanned surface vehicles under dynamically unforeseen environments

gym-usv icon gym-usv

OpenAI gym environment of an Unmanned Surface Vehicle.

kalman-and-bayesian-filters-in-python icon kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

liangzhao13.github.io icon liangzhao13.github.io

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

ml4ca icon ml4ca

Code base for "Dynamic Positioning using Deep Reinforcement Learning". Paper: https://www.sciencedirect.com/science/article/pii/S0029801821008398 - Thesis: https://ntnuopen.ntnu.no/ntnu-xmlui/handle/11250/2731248

mss icon mss

Marine Systems Simulator (MSS)

strength-model-calculation icon strength-model-calculation

This is the calculation code related to the article 'The Ultimate Strength Models for Spherical Shells under External Pressure: A Comparative Study'

tsp_collection icon tsp_collection

TSP算法全复现:遗传(GA)、粒子群(PSO)、模拟退火(SA)、禁忌搜索(ST)、蚁群算法(ACO)、自自组织神经网络(SOM)

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