bat-algorithm

JingweiToo/Wrapper-Feature-Selection-Toolbox

This toolbox offers more than 40 wrapper feature selection methods include PSO, GA, DE, ACO, GSA, and etc. They are simple and easy to implement.

deng-cy/deep_learning_topology_opt

Code for paper "Self-Directed Online Machine Learning for Topology Optimization"

stratzilla/metaheuristic-training-networks

An implementation of various metaheuristics adapted to train neural networks

CowPeas/optimization

This is a playground for learning and working with various Optimization algorithms with a focus on real life applications.

jonasgrebe/bees-bats-fireflies

Implementation of three nature-inspired search algorithms: Bees Algorithm, Bat Algorithm, and Firefly Algorithm

abhirams2020/Traffic-Signal-Optimization

Project to improve the efficiency of traffic signal control and reduce traffic delay at intersections by using various optimization algorithms.

guillaume-giannantonio/bat-algorithm

A simple JavaScript library implementing the Bat Algorithm for optimization problems.

SeyedMuhammadHosseinMousavi/Testing-Optimization-Algorithms-Easier-with-a-New-Test-Function-for-Single-Optimization-Problems-and

Testing Optimization Algorithms Easier with a New Test Function for Single-Optimization Problems and Validating Evolutionary Algorithms

Steigner/UR3_Bat_Algo_IK

UR3 Inverse Kinematics by Bat Algorithm

aankitdas/BBA-LAHC

BBA-LAHC is a novel nature-inspired feature selection algorithm developed by hybridizing Binary Bat Algorithm (BBA) and Late Acceptance Hill-Climbing (LAHC) to select the optimal subset from the said feature vectors in order to reduce the model complexity.

bintarisiswi/iris-recognition-with-ANN-and-BA

Iris Image Recognition Using Hybrid Backpropagation Neural Network and Bat Algorithm

leylatulu/Heuristic-Optimization-Algorithms

Heuristic algorithms are written from scratch.

rupeshsure/Diabetes-Predection-Project

Enhancing The Performance Of Classifiers In Detecting Abnormalities In Medical Data Using Nature Inspired Optimization Techniques

srivatsav06/AI_PROJECT

CS F407 Project

xsitarcik/epiBAT

Jinny168/HVA-Unity-Project

HVA-Unity-Project

OluwadareLab/ChromeBat

ChromeBat: A Bio-Inspired Approach to 3D Genome Reconstruction

jayenliao/Optimization-CS-BA-FPA

This project aimed to implement three well-known meta-heuristic algorithms: cuckoo search (CS), bat algorithm (BA), and flower pollination algorithm (FPA). We found that three algorithms could have a promising performance generally. It might need more runs to be converged when training BA. The time cost of BA was the highest while the differences of time cost among three algorithms were not so large, which might not matter when the number of training runs was not large. We also tuned λ in CS and FPA with the findings of the weakness of larger λ values. A demo video of training process is available on YouTube: https://youtu.be/hlKvODBUyeI.

mantasu/nat2324

Best solutions for Natural Computing 2023/2024

sangeetha077/Brain_Tumor_Diagnosis

Brain Tumor Diagnosis using MRI is a machine learning project that detects brain tumors from MRI scans. It involves preprocessing steps like normalization and Gaussian filtering, followed by feature extraction using GLCM and feature selection using the BAT algorithm. An SVM classifier is then used to accurately classify the presence of tumors.