Crowdsourced experiment on bio-inpired interfaces for automated vehicles.
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Updated
Jan 4, 2023 - JavaScript
Crowdsourced experiment on bio-inpired interfaces for automated vehicles.
This folder contains the Matlab scripts of a new nature-inspired metaheuristic optimization algorithm called the red-tailed hawk algorithm (RTH). Link to the paper: https://www.nature.com/articles/s41598-023-38778-3
Evolutionary algorithm to find fitter parameters of evolutionary algorithm. Fork of https://gitlab.com/simoesusp/disciplinas/-/tree/master/SSC0713-Sistemas-Evolutivos-Aplicados-a-Robotica/AG-Grafico
Solving the feature selection problem using a Genetic Algorithm (GA). This was a part of the course IT3708 - Bio-Inspired Artificial Intelligence at NTNU spring 2021.
Design Nature | Fall 2019 | Coursework
A Python framework that implements a wide variety of State-of-the-art Nature-Inspired algorithms, in path planning applications.
Genetic Algorithms for Feature Selection, Solving a variant of the Multi-Depot Vehicle Routing Problem (MDVRP) using a Genetic Algorithm (GA), and Image Segmentation With a Multiobjective Evolutionary Algorithm
Selection of scripts for simulating AI experiments inspired by biology.
Optimization of an Up-scalable Graph Neural Network based on the C. Elegans Connectome Nervous System
Java CLI application to benchmark IDS, using WEKA's Java API and CSE-CIC-IDS2018 dataset.
Optimization problem solving with PSO using Inspyred
Undergraduate mechatronics thesis project.
Solving Job Shop Scheduling Problem (JSSP) with two types of Swarm Intelligence: Particle Swarm Optimization (PSO) and Artificial Bee Colony (ABC)
Utilizing Stack Genetic Programming to solve a symbolic regression problem
Multi-objective Evolutionary Algorithm (MOEA) for Image segmentation (ImSeg) implementation. Pair-programmed as part of IT3708 - Bio-Inspired Artificial Intelligence
C++ implementation of the genetic algorithm
Particle Swarm Optimization algorithms in Python
C++ implementation of cellular automata
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