Game Playing Agent (Artificial Intelligence) - Solving the Norinori Puzzle using the Honey Badger Algorithm and Q-Learning
-
Updated
Jul 11, 2024 - Python
Game Playing Agent (Artificial Intelligence) - Solving the Norinori Puzzle using the Honey Badger Algorithm and Q-Learning
This project implements two nature-inspired optimization algorithms: Moth Flame Optimization (MFO) and Honey Badger Optimization (HBO). Both algorithms are designed to solve complex optimization problems by mimicking behaviors observed in nature. also it includes a path finding algorithm, A-star
This research proposes a novel order batching approach for warehouses to minimize total tardiness, considering category, weight, and fragility constraints. A Set-based Mayfly Algorithm (SBMA) is developed, adapting the Mayfly Algorithm to the discrete problem and leveraging swarming/mating behaviors to avoid local optima.
TSP - Ant Colony Optimization
EvoRBF: Evolving Radial Basis Function Network by Intelligent Nature-inspired Algorithms
Customising optimisation metaheuristics via hyper-heuristic search (CUSTOMHyS). This framework provides tools for solving, but not limited to, continuous optimisation problems using a hyper-heuristic approach for customising metaheuristics. Such an approach is powered by a strategy based on Simulated Annealing. Also, several search operators ser…
A tool to automatic design Multiple-Stub Matching Networks (MSMN) for wideband on Transmission Lines, using Metaheuristics Optimization Algorithms.
Trabajo Final de la asignatura del Master Universitario en Inteligencia Artificial de la Universidad Politécnica de Madrid
(ancient german = improving, rearranging, rendering benign)
This work was aimed at finding methods to identify the most distant proteins and most diverse subsets of proteins from large protein databases in a scalable and efficient way using a dataset of protein embeddings from SwissProt, data mining techniques and metaheuristics.
MetaPerceptron: Unleashing the Power of Metaheuristic-optimized Multi-Layer Perceptron - A Python Library
reflame: Revolutionizing Functional Link Neural Network by Metaheuristic Optimization
(Code) A Novel Nature-inspired Algorithm for Optimal Task Scheduling in Fog-Cloud Blockchain System
The codes for metaheuristic optimization algorithms
Current repository contains my implementation of Crystal Structure Algorithm.
Simple Python Implementation of Differential Search Algorithm (DSA)
Enhancing the performance of high dimensional automatic data clustering using Particle Swarm Optimization (PSO) algorithm employing Autoencoder in Stock Market data.
Enhancing the Performance of PSO Algorithm for Clustering High dimensional data using Autoencoders
CS F407 Project
A toolkit for MetaHeuristics implemented in Python
Add a description, image, and links to the metaheuristic-algorithms topic page so that developers can more easily learn about it.
To associate your repository with the metaheuristic-algorithms topic, visit your repo's landing page and select "manage topics."