Atlantiscyy's starred repositories
2E-VRP-ABC
In the process of solving the 2E-VRP problem, the large-scale destruction and repair algorithm is used to ensure that the algorithm does not fall into the local optimal solution. The process of the initialization process uses the greedy strategy to cluster the customers. The large-scale destruction process is to randomly remove the customer nodes on the satellite into the customer pool. The repair process is based on the reciprocal of the customer's distance to each customer in the customer pool. Gambling Select the satellite to which the customer belongs and engage in greedy insertion. For the second layer of path planning, you need to use multiple search operators, such as random sequence reversal exchange operator, crossover operator, damage and repair operator, and crossover operator variants, etc. to improve the artificial bee group algorithm Of the local search ability. To ensure that the global optimal situation can be found, the neighborhood of large-scale search. The improved artificial bee colony algorithm incorporates the idea of simulated annealing and improves the global optimization ability of artificial bee colony algorithm. For the artificial bee colony algorithm, the combination of global optimization ability and local optimization ability improves the possibility that the algorithm can find a better solution than the existing method. Multi - operator artificial bee colony algorithm, which extends the search range of the food source 's neighborhood, and more possibilities to find the global optimal solution. The experimental results show that the algorithm can get better path planning results
bank_interview
:bank: 银行笔试面试经验分享及资料分享（help you pass the bank interview, and get a amazing bank offer!）
Neuroscience-Information-Theory-Toolbox
A MATLAB toolbox for performing information theory analyses of neuroscience data
InformationTheory
Documents for Information Theory used in Master of Logic course Information Theory at the UvA
information-theory-deep-learning
Resources and Implementations (PyTorch) for Information Theoretical concepts in Deep Learning
Matlab-Graph-Optimization
Matlab: Optimization for Nonlinear Least Squares
SLAM-Algorithms-Octave
Solutions to assignments of Robot Mapping Course WS 2013/14 by Dr. Cyrill Stachniss at University of Freiburg
collab-nav
Collaborative Navigation
Digital-Image-Processing
Digital Image Processing
COpNav-Pseudorange-Measurements-Simulator
Replicating results from "Observability Analysis of Collaborative Opportunistic Navigation With Pseudorange Measurements" paper. Here, an EKF-based estimator is used to simulator various observability scenarios for a vehicle moving in a unknown dynamic and stochastic envrionment.