This toolbox offers 13 wrapper feature selection methods (PSO, GA, GWO, HHO, BA, WOA, and etc.) with examples. It is simple and easy to implement.

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.

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

An implementation of various metaheuristics adapted to train neural networks

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

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

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

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

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

UR3 Inverse Kinematics by Bat Algorithm

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.

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

Iris Image Recognition Using Hybrid Backpropagation Neural Network and Bat Algorithm

CS F407 Project

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.

HVA-Unity-Project

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 difference…

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

Heuristic algorithms are written from scratch.