Harris Hawks Optimization (HHO) is a nature-inspired metaheuristic algorithm that simulates the cooperative hunting behavior of Harris' hawks. Widely used in engineering, machine learning, and resource allocation, HHO is renowned for its simplicity, versatility, and effectiveness in finding global optima.
☆68Nov 27, 2024Updated last year
Alternatives and similar repositories for Harris-Hawks-Optimization-Algorithm-and-Applications
Users that are interested in Harris-Hawks-Optimization-Algorithm-and-Applications are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Harris Hawks Optimization (HHO) - Python Code☆32Jun 8, 2019Updated 7 years ago
- In this paper, a new stochastic optimizer, which is called slime mould algorithm (SMA), is proposed based upon the oscillation mode of sl…☆52Aug 9, 2024Updated 2 years ago
- The binary version of Harris Hawk Optimization (HHO), called Binary Harris Hawk Optimization (BHHO) is applied for feature selection task…☆14Jan 10, 2021Updated 5 years ago
- The optimization field suffers from the metaphor-based “pseudo-novel” or “fancy” optimizers. Most of these cliché methods mimic animals' …☆12Oct 13, 2024Updated 2 years ago
- A new Nature-inspired optimization algorithm: Aptenodytes Forsteri Optimization algorithm (AFO)☆20Mar 29, 2022Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- BOA is a novel bio-inspired meta-heuristic algorithm for global optimization☆14Feb 13, 2019Updated 7 years ago
- Application of Whale Optimization Algorithm (WOA) in the feature selection tasks.☆28Jul 30, 2021Updated 5 years ago
- The Matlab/Octave code contains codes of Whale Optimization Algorithm and Particle Swarm Optimization.☆83Jul 27, 2019Updated 7 years ago
- Use of Particle Swarm optimization to train Neural netwrok on Matlab / Octave☆15Nov 28, 2016Updated 9 years ago
- This repository contains the source codes of a novel variant of the Grey Wolf Optimization (GWO) algorithm, named Velocity-Aided Grey Wol…☆12Mar 18, 2022Updated 4 years ago
- 13 improved particle swarm optimization algorithms☆17Oct 7, 2023Updated 3 years ago
- This script implements the hybrid of PSO and GWO optimization algorithm.☆109Oct 18, 2023Updated 3 years ago
- The biggest module developed with complete focus on Feature Selection (FS) using Meta-Heuristic Algorithm / Nature-inspired evolutionary …☆19Jun 15, 2023Updated 3 years ago
- MPA is a new metaheuristic for continuous optimization inspired by nature☆50Mar 30, 2020Updated 6 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- This toolbox offers more than 40 wrapper feature selection methods include PSO, GA, DE, ACO, GSA, and etc. They are simple and easy to i…☆188Mar 4, 2021Updated 5 years ago
- ☆14Mar 13, 2023Updated 3 years ago
- A project of vehicle's post imapect control, which is based on Carsim and MATLAB☆13Jun 25, 2021Updated 5 years ago
- Demonstration on how binary grey wolf optimization (BGWO) applied in the feature selection task.☆37Mar 7, 2021Updated 5 years ago
- Simulated & controlled semi-active suspension system of car on MATLAB & Simulink.☆24Dec 28, 2021Updated 4 years ago
- Al-Tashi, Q. et al(2019). Binary optimization using hybrid grey wolf optimization for feature selection. IEEE Access, 7, 39496-39508. Lin…☆21Dec 26, 2020Updated 5 years ago
- 不断学习，一起进步☆16Oct 19, 2026Updated last week
- Whale Optimization Algorithm used to train Neural Network☆19Nov 28, 2016Updated 9 years ago
- Code for the paper, A Cascade Predictive Control Strategy for Active Suspension Systems, IEEE ICA/ACCA (2018)☆11Jul 3, 2019Updated 7 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆23Jan 14, 2022Updated 4 years ago
- This MATLAB code implements the binary Grass hopper optimization algorithm to select the features and train with KNN☆12Apr 3, 2019Updated 7 years ago
- MOMPA: a high performance multi-objective optimizer based on marine predator algorithm☆25Apr 3, 2024Updated 2 years ago
- Code to mesh, execute topology optimization, and evaluate results for an irregular shaped pressure vessel☆12May 26, 2020Updated 6 years ago
- A multi-modal multi-objective evolutionary algorithm using two-archive and recombination strategies (IEEE Transactions on Evolutionary Co…☆22Mar 25, 2021Updated 5 years ago
- MATLAB智能算法30个案例分析（第2版）PDF和随书代码☆17Nov 26, 2021Updated 4 years ago
- EvoloPy toolbox provides classical and recent nature-inspired metaheuristic for the global optimization.☆512Apr 18, 2026Updated 6 months ago
- N. Singh and S. Singh, "Hybrid Algorithm of Particle Swarm Optimization and Grey Wolf Optimizer for Improving Convergence Performance", J…☆27Sep 23, 2021Updated 5 years ago
- Robust Encryption of Quantum Medical Images☆11May 20, 2019Updated 7 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Implementation of model predictive control for nonlinear systems via machine learning and function approximators☆58Jun 4, 2018Updated 8 years ago
- ☆11Jun 27, 2017Updated 9 years ago
- MATLAB implementations of standard and chaos-incorporated versions of the firefly metaheuristic tested on continuous optimization functio…☆12May 24, 2018Updated 8 years ago
- Motion-Encoded Particle Swarm Optimization Algorithm☆59Nov 27, 2024Updated last year
- simple grasshopper optimization algorithm (GOA)☆10Dec 20, 2021Updated 4 years ago
- ☆12Nov 25, 2020Updated 5 years ago
- Neural Network for Model Predictive Control☆15Apr 24, 2017Updated 9 years ago