pjw2146087 Goto Github PK

ocmmh

OPTIMAL CLUSTERING AND ROUTING PROTOCOL FOR WIRELESS SENSOR NETWORKS

parameters-extraction-of-photovoltaic-models-using-an-improved-moth-flame-optimization

pjw2146087.github.io

personal homepage

pso_mountain

粒子群算法用于解决山地路线规划问题

pv-ppso

Highly efficient photovoltaic parameter estimation using parallel particle swarm optimization on a GPU

pv_parameter_estimation_with_ibexopt

pymetaheuristic

A python library for: Adaptive Random Search, Ant Lion Optimizer, Arithmetic Optimization Algorithm, Artificial Bee Colony Optimization, Bat Algorithm, Biogeography Based Optimization, Cross-Entropy Method, Cuckoo Search, Differential Evolution, Dispersive Flies Optimization, Dragonfly Algorithm, Firefly Algorithm, Flow Direction Algorithm, Flower Pollination Algorithm, Genetic Algorithm, Grey Wolf Optimizer, Gravitational Search Algorithm, Harris Hawks Optimization, Improved Grey Wolf Optimizer, Improved Whale Optimization Algorithm, Jaya, Memetic Algorithm, Moth Flame Optimization, Multiverse Optimizer, Particle Swarm Optimization, Random Search, Salp Swarm Algorithm, Simulated Annealing, Sine Cosine Algorithm, Whale Optimization Algorithm

pytorch-transformer

pytorch implementation of Attention is all you need

pytorch-yolov4

PyTorch ,ONNX and TensorRT implementation of YOLOv4

pytorch_yolov4

PyTorch implementation of YOLOv4

relay-node-optimization-using-genetic-algorithm

Relay is one of the most important devices to forward sensory data to sink. Therefore, relay’s connectivity must be kept well so Wireless Sensor Network works optimally. Common problem in Wireless Sensor Network is relay node placement in a deterministic way is not getting optimal results. Heuristic way is done with hope that optimal position of relay can be achieved. In this project genetic algorithm is carried out to solve relay’s position optimization. Genetic algorithm is an algorithm that can be used to find the nearly optimum solution from wide possibility solution area. In this research, researcher used extended intermediate crossover, random mutation, and elitism selection.

repvest

Code for the paper: Rethinking solar photovoltaic parameter estimation: global optimality analysis and a simple efficient differential evolution method

rolling-bearing-fault-diagnosis

利用最小二乘支持向量机进行分类器建模，改进鲸鱼算法（基于冯洛伊曼拓扑的鲸鱼算法）进行超参数寻优

routing-algorithm-in-wsn-grid-based-approach-

The algorithm shows how the sensed data from the sensor nodes is being routed to the sink efficiently.The energy of the sensor nodes is very less and the cost of transmitting data of 1Kb from the sensor nodes to a distance of 100 meters is same as performing 3 billion instructions in a general purpose register.Thus there is a requirement in minimising the number of transmissions and length of transmission and every node in the network must be covered . So a Grid is chosen of dimensions m*m (where m is maximum distance the node can communicate) and among all the nodes a centre head is chosen where all the nodes in the grid sends the data to the cluster head and all the cluster heads sends data to nearest cluster head to save the energy until it reaches the sink

shf

Sword Heroes' Fate

sotr

SOTR: Segmenting Objects with Transformers

spso

Spherical Vector-based Particle Swarm Optimization

swin-transformer-pytorch

Implementation of the Swin Transformer in PyTorch.

sword2

调整剑侠情缘贰(复刻版)的编译方式,以支持Android和更多的操作系统

testpage

the-source-code-of-rlnna-for-parameters-extraction-of-photovoltaic-models

transformer

依照The Annotated Transformer 的指导实现Transformer, 并加入进去详细的描述，适合小白

transformer-pytorch

Transformer implementation in PyTorch.

uav_multihop_adhoc

Optimal Multihop Ad-hoc Route Deployment

vision-transformer-pytorch

Pytorch version of Vision Transformer (ViT) with pretrained models. This is part of CASL (https://casl-project.github.io/) and ASYML project.

webuav-3m

WebUAV-3M

wsn-nsga-iii

Wireless sensors network deployment using Non-Dominated Sorting Genetic Algorithm.

wusn

Optimizing Wireless Underground Sensor Network lifetime using k-means, maximum flow and genetic algorithms