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abistro1234's Projects

advanced-feature-selection-toolbox

This toolbox offers advanced feature selection tools. Several modifications, variants, enhancements, or improvements of algorithms such as GWO, FPA, SCA, PSO and SSA are provided.

binary-grey-wolf-optimization-for-feature-selection

Demonstration on how binary grey wolf optimization (BGWO) applied in the feature selection task.

chaotic-gsa-for-engineering-design-problems

All nature-inspired algorithms involve two processes namely exploration and exploitation. For getting optimal performance, there should be a proper balance between these processes. Further, the majority of the optimization algorithms suffer from local minima entrapment problem and slow convergence speed. To alleviate these problems, researchers are now using chaotic maps. The Chaotic Gravitational Search Algorithm (CGSA) is a physics-based heuristic algorithm inspired by Newton's gravity principle and laws of motion. It uses 10 chaotic maps for global search and fast convergence speed. Basically, in GSA gravitational constant (G) is utilized for adaptive learning of the agents. For increasing the learning speed of the agents, chaotic maps are added to gravitational constant. The practical applicability of CGSA has been accessed through by applying it to nine Mechanical and Civil engineering design problems which include Welded Beam Design (WBD), Compression Spring Design (CSD), Pressure Vessel Design (PVD), Speed Reducer Design (SRD), Gear Train Design (GTD), Three Bar Truss (TBT), Stepped Cantilever Beam design (SCBD), Multiple Disc Clutch Brake Design (MDCBD), and Hydrodynamic Thrust Bearing Design (HTBD). The CGSA has been compared with seven state of the art stochastic algorithms particularly Constriction Coefficient based Particle Swarm Optimization and Gravitational Search Algorithm (CPSOGSA), Standard Gravitational Search Algorithm (GSA), Classical Particle Swarm Optimization (PSO), Biogeography Based Optimization (BBO), Continuous Genetic Algorithm (GA), Differential Evolution (DE), and Ant Colony Optimization (ACO). The experimental results indicate that CGSA shows efficient performance as compared to other seven participating algorithms.

grey-wolf-optimizer-algorithm-with-a-two-phase-mutation

Abdel-Basset, M., El-Shahat, D., El-henawy, I., de Albuquerque, V. H. C., & Mirjalili, S. (2019). A new fusion of grey wolf optimizer algorithm with a two-phase mutation for feature selection. Expert Systems with Applications, 112824. doi:10.1016/j.eswa.2019.112824

jingweitoo

libpku

贵校课程资料民间整理

matlabrobotics

MATLAB sample codes for mobile robot navigation

mobile_robot_path_planning_genetic_algorithm

Solves collision free shortest path planning problem for a mobile robot in a 2D static environment using Genetic Algorithm

moea-dev

multi-strategy-ensemble-whale-optimization-algorithm

Yuan, X., Miao, Z., Liu, Z., Yan, Z., & Zhou, F. (2020). Multi-Strategy Ensemble Whale Optimization Algorithm and Its Application to Analog Circuits Intelligent Fault Diagnosis. Applied Sciences, 10(11), 3667. doi:10.3390/app10113667

neu-rse-courses

东北大学机器人课程攻略共享计划

nju-review-materials

📝 南哪课程复习资料 Review materials for NJU

panda-learning

学习强国 xuexiqiangguo 全网最好用学习强国助手：Panda_Learning 萌萌的熊猫帮你搞定学习强国

path_planning

路径规划算法

pathplanning

A multi-objective problem based on MOEA/D algorithm.

pathplanning-1

Common used path planning algorithms with animations.

pmsm-controller-design

Field oriented Controller has been designed for Permanent Magnet Synchronous Motor.

pmsm_foc_ltid_linear

FOC control of a PMSM motor with Luenberger estimator and Kalman filter. The purpose of these is to estimate the load torque.

pmsmcontrol

Great repository to learn PMSM control and modelling. It provides the basic tools to generate control calibrations based on the motor parameters, to tune the PID controllers within the controller, and to simulate both the controller and the plant.

pythonrobotics

Python sample codes for robotics algorithms.

route-planning

path规划

sjtu-courses

上海交通大学课程资料分享

stm32f4-examples

Examples programs for STM32F4Discovery. These examples were written while I was exploring STM32F407VGT microcontroller. I think this is may be helpful somebody.