IIIcecola's Stars
jgraph/drawio
draw.io is a JavaScript, client-side editor for general diagramming.
pyecharts/pyecharts
🎨 Python Echarts Plotting Library
pengsida/learning_research
本人的科研经验
guofei9987/scikit-opt
Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)
marblexu/PythonPlantsVsZombies
a simple PlantsVsZombies game
visiky/resume
🚀 在线简历生成器
stevengj/nlopt
library for nonlinear optimization, wrapping many algorithms for global and local, constrained or unconstrained, optimization
RuslanAgishev/motion_planning
Robot path planning, mapping and exploration algorithms
Mesywang/Motion-Planning-Algorithms
Matlab Implementations of some basic motion planning algorithms, such as A*, RRT, RRT*, Minimum Snap Trajectory Generation, etc..
olzhas/rrt_toolbox
RRT, RRT*, RRT*FN algorithms for MATLAB
Grootzz/GA-BP
基于遗传算法的BP网络设计,应用背景为交通流量的预测
dawnjeanh/motionplanning
Motion planning algorithm implementation
Huang0035/RRT-and-RRT-star-plus-APF
Path Planning Based on Mixed Algorithm of RRT and Artificial Potential Field Method
Eurecat/astar-gridmap-2d
A* algorithms for 2D gridmaps. The fastest one, until you prove me wrong
marinlauber/Python-VPP
3-DOF Velocity Prediction Program
Meshaal-Mouawad/Improvement-Potential-Field-Algorithm
Improvement of Potential Field Algorithm for Robot Path Planning. The objective of the project is to apply the Artificial Potential Field (APF) algorithm for robot path planning to improve this robot path planning algorithm and resolve some issues such as local minima of an autonomous mobile robot.
Aniket144/Cloud_Simulation_Project
WorkFlow Scheduling Using Hybrid Genetic Algorithm - Particle Swarm Optimization Algorithm.
dipankarsk/Feature-Selection-Hybrid
Intrusion Detection is a technique to identify the abnormal behavior of system due to attack. The unusual behavior of the environment is then identified and steps are taken and methods are formed to classify and recognize attacks. Data set containing a number of records sometimes may decrease the classifiers performance due to redundancy of data. The other problems may include memory requirements and processing power so we need to either reduce the number of data or the number of records. Feature Selection techniques are used to reduce the vertical largeness of data set. This project makes a comparative study of Particle Swarm Optimization, Genetic Algorithm and a hybrid of the two where we see that PSO being simpler swarm algorithm works for feature selection problems but since it is problem dependent and more over its stochastic approach makes it less efficient in terms of error reduction compared to GA. In standard PSO, the non-oscillatory route can quickly cause a particle to stagnate and also it may prematurely converge on sub optimal solutions that are not even guaranteed to be local optimum. A further drawback is that stochastic approaches have problem-dependent performance. This dependency usually results from the parameter settings in each algorithm. The different parameter settings for a stochastic search algorithm result in high performance variances. In this project the modification strategies are proposed in PSO using GA. Experimental results show that GA performs better than PSO for the feature selection in terms of error reduction problems whereas hybrid outperforms both the model in terms of error reduction.
ggruszczynski/VPP
matlab implementation of Velocity Prediction Program for sailing yachts
izzuddinafif/MATLAB-GA-PSO
This MATLAB project implements a hybrid optimization algorithm that combines Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). The algorithm is designed to optimize a set of parameters (genes) for various problems, making it flexible and adaptable to different optimization scenarios.
robotics-uncc/VariableSpeedDubins
Plan time-optimal paths with both speed and turn-rate controls
malo-pocheau/VPP_DPEA_ENSAN
Repository containing the code of the Velocity Prediction Program of ENSA Nantes
comrob/AcceleratedDubins.jl
Computing multi-radius Dubins path, which allows to increase the vehicle's speed. This can decrease total travel time.
avikdas191/Navigation_Control_Mobile_Robot_APF
Hands on experience on Artificial Potential Fields method (APF). Designed navigation control of a mobile robot in a complex environment such as library using the APF method through MATLAB software.
jgrazian/vpp
Sailboat Velocity Prediction Program
sundawn/GridMap-For-BaiduMap
基于百度地图的栅格地理化呈现
chumoyot/Computational-Motion-Planning-Artificial-Potentials-Method
Demonstrates the construction of artificial potential fields which are designed to attract a robot to its desired goal location and repel it from spaces with obstacles.
LuisSwine/HybridPSOGA
This is a hybrid algorith with a merge between PSO and GA to solve optimization problems in continous space
brendankaguiar/Artifical-Potential-Controller
The program simulates a green robot that follows a red target using an Artificial Potential Field. Co-Authored with Dr. Jim La
SweeWarman/WindyDubinsPlanner
Wind aware dubins planner