Implementation of various metaheuristic algorithms in C++ and Python

This repositories include python version of the optimization algorithm which is proposed by Mirjalili, and I did some modifications based on the original code.

Solutions for Labs of Nature Inspired Computing course offered at Innopolis University

Path Planning with Metaheuristic Algorithms in C++

This repositories include the IEEE Congress on Evolutionary Computation Benchmark functions suite (IEEE CEC 2014 2017 2020 2022). You can use the untitled.m to form a figure of the benchmark function.

Data Science Project (Australian Electricity Load Dataset Analysis)

Python3 framework for comparative study of recent metaheuristics

This repository contains Python code for researching Intrusion Detection Systems (IDS) using various algorithms, including the Lion Optimization Algorithm (LOA), Artificial Bee Colony (ABC), and Grey Wolf Optimization (GWO).

Julia implementations of various animal-inspired optimizers

🕸 CNN + 🛍 BoVW + 💼 BoCF + 🐺 Grey Wolf Optimization & Comparision ⚖

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

Nature Inspired Optimization Algorithms

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.

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

The GWO algorithm mimics the leadership hierarchy and hunting mechanism of grey wolves in nature. Four types of grey wolves such as alpha, beta, delta, and omega are employed for simulating the leadership hierarchy. In addition, three main steps of hunting, searching for prey, encircling prey, and attacking prey, are implemented to perform optim…

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