Source code for the thesis entitled "Teoría de la aproximabilidad: análisis teórico y resolución práctica mediante algoritmos genéticos."
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Updated
Mar 3, 2021 - Python
Source code for the thesis entitled "Teoría de la aproximabilidad: análisis teórico y resolución práctica mediante algoritmos genéticos."
🧬This repository contains implementations of various bio-inspired optimization algorithms, along with example notebooks and resources for demonstration.
In this project, a new ACO algorithm is proposed which ensures to solve the problems encountered in traditional ACO algorithms. This algorithm was tested on number of environments to examine efficiency, error margin and count computational time. The results ensured that the proposed ACO algorithm is completely efficient in small-scale environmen…
BEPSO: Biased Eavesdropping Particle Swarm Optimisation Algorithm . Source code for the paper: IEEE SSCI https://ieeexplore.ieee.org/document/9660113
Bio-inspired Computing
Multi-objective optimization based on sloping plate optimization algorithm called Multi-objective Inclined Planes system optimization algorithm (MOIPO) is presented in this link. The proposed method uses the concept of Pareto optimization to identify non-dominant positions and an external tank to maintain these positions.
Since 3d printing is a long process, using bio-inspired algorithms to obtain the model that requires less support material and/or prints in less time
Projects in IT3708 bio-inspired AI, a second degree level subject at NTNU, 2024
This repository contains my Bio-Inspired Computing Projects during University and the projects that I've implemented due to my interest in Bio-Inspired Computing. These projects include l-systems development and bio-inspired optimization methods.
An ant colony optimization program for solving image segmentation created in the context of IT3708 at NTNU.
Study and implementation of bioinspired metaheuristics (ACO, CLONALG, GA, PSO)
Bio inspired algorithms in Elixir
Coursework for CSCI-633 Bio-Inspired Intelligent Systems
Python3 framework for comparative study of recent metaheuristics
A simplified and effective version of IPO (called SIPO) with the aim of simplifying the main IPO equations, creating a powerful trade-off between the concepts of exploitation and exploration, and modifying the complexity of their structural parameters.
AHPSO: Altruistic Heterogeneous Particle Swarm Optimisation Algorithm. Source code for the paper: IEEE SSCI https://ieeexplore.ieee.org/document/9660149
Simple console implementation of the Krill Herd (KH) algorithm
With the aim of create a powerful trade-off between the concepts of exploitation and exploration, and rectify the complexity of their structural parameters in the standard IPO, a modified version of IPO (called MIPO) is introduced as an efficient optimization algorithm for digital infinite-impulse-response (IIR) filters model identification. The…
Python code for ECS-NL.
A new optimization method based on the dynamic of sliding motion along a frictionless inclined plane. In IPO, a collection of agents cooperate with each other and move toward better positions in the search space by employing Newton’s second law and equations of motion. The standard version of the IPO is presented by Mozafari et al. in 2016. Powe…
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