shdotcom

AB-MOEA

Adaptive-CLPSO

Adaptive Parameter Selection in Comprehensive Learning Particle Swarm Optimizer

Adaptive-Grey-Wolf-Optimization-Algorithm-AGWO

ADE-MOAIS

ADE-MOAIS Optimization

Automatic_LDR_Night_Lamp

Automatic LDR Based Night Lamp.

Binary-Salp-Swarm-Algorithm

BPSO_BreastCancer

breast cancer feature selection using binary particle swarm optimization

Breast-Cancer-Detection

SVM for Breast Cancer Detection from mammogram Using MatLAB

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

code

ActiveState Code Recipes

shdotcom/Adaptive-Grey-Wolf-Optimization-Algorithm-AGWO

shdotcom/ADE-MOAIS

ADE-MOAIS Optimization

shdotcom/Breast-Cancer-Detection

SVM for Breast Cancer Detection from mammogram Using MatLAB

shdotcom/deap

Distributed Evolutionary Algorithms in Python

shdotcom/DiabetesPrediction

shdotcom/EAPSO

shdotcom/Economic-Dispatching-by-Bees-Algorithm

Economic Dispatching by Bees Algorithm

shdotcom/enginnering-design-problems-with-python

classical engineering design problems single objective fitness function pressure vessel welded beam and tension/compression spring design optimization problems

shdotcom/Enhanched-Search-Mechanism-for-Harris-Hawks-Optimizer-using-Honey-Badger-Algorithm

This project creates a hybrid algorithm named Honey Badger-Harris Hawk Optimizer which is capable of solving optimization tasks.

shdotcom/Evolutionary-Grey-Wolf-Optimizer

shdotcom/Evolutionary_Algorithms

"Explore the world of Evolutionary Algorithms (EAs) with this educational repository. Dive into detailed implementations from Genetic Algorithms to Particle Swarm Optimization. Designed for clarity and understanding, it's a comprehensive guide for learners and educators alike. Dive in and demystify EAs!"

shdotcom/Feature-rank-feature-selection

A noval feature selection method similar to pagerank method, and ultilized Bayesian optimization to search appropriate parameters

shdotcom/Grey-Wolf-Optimizer-for-Path-Planning

灰狼优化算法(GWO)路径规划、轨迹规划、轨迹优化、多智能体/多无人机航迹规划

shdotcom/GreyWolfOptimization-MKSVM

Using GreyWolfOptimization for feature selection and multi kernel SVM for classification for Malware Hunting on IoT devices

shdotcom/Hybridized-Harris-hawk-whale-optimization-algorithm

Uses Harris Hawk and Whale Nature Inspired Algorithm to Train the weights of Neural Network. An approach to adjust the parameters of NN connection weights using the hybrid of Harris Hawk Optimization and Whale Optimization algorithm was proposed. The results showed that the hybrid algorithm has been successfully applied to train neural networks. The results showed that there is no superiority of one algorithm over another, however, the results of the proposed algorithm are a competitive alternative to other P-Metaheuristic algorithms. Hybrid Harris Hawk with Whale optimization to train weights of the neural network was used to increase the efficiency of fraud detection and cancer datasets. Our method for anomaly detection is a supervised method based on classification. The performance of Harris Hawk with Whale is acceptable and has promising results that nominate it for other optimization applications such as scheduling.

shdotcom/Jaya-Honey-Badger-Optimization-based-Deep-Neuro-Fuzzy-Network-structure-for-detection-of-Covid-19-

The Covid-19 virus is fast spreading disease in globally, which threateness billions of human begins. In this paper, Jaya Honey Badger Optimization-based Deep Neuro Fuzzy Network (JHBO-based DNFN) is introduced for Covid-19 prediction by audio signal. Here, Covid-19 prediction is done using DNFN, and it is trained by developed JHBO algorithm. The d

shdotcom/MOAs-and-CHTs

shdotcom/MuscleParamOptimizer

Scripts and models to optimize musculotendon parameters in musculoskeletal models.

shdotcom/my_Optimization-studio

Metaheuristic(Genetic algorithm, Particle swarm optimization, Cuckoo search, Grey wolf optimizer), Reinforcement Learning with Python

shdotcom/Numerical-Optimization-Algorithms

Implementation of numerical optimization algorithms from scratch

shdotcom/OptimalCycling

Optimize subject-specific bicycle parameters to optimize cycling performance

shdotcom/optimization-objective-function-in-structural-topology

shdotcom/Optimizing_Millimeter_Wave_Communication

Used convex optimization to tune millimetre wave based wireless communication parameters. Replicated the IEEE paper "Multi-Beam Power Allocation for mmWave Communications under Random Blockage"

shdotcom/pglib-opf

Benchmarks for the Optimal Power Flow Problem

shdotcom/SMOA

Supervised Multi-objective Optimization Algorithm

shdotcom/The-source-code-of-ISGTOA-for-global-optimization

shdotcom/The-source-code-of-RLNNA-for-parameters-extraction-of-photovoltaic-models

shdotcom/TOPcodes

shdotcom/tsp-solver

Solving Travelling Salesman Problem using discrete Particle Swarm Optimization.

shdotcom/UAV-Path-Planning-using-Gray-Wolf-Optimization

Regenerated a state-of-the-art meta-heuristic algorithm for the UAV path planning problem, proposed by Qu, Gai, and Zhong.