A Collection Of The State-of-the-art Metaheuristic Algorithms In Python (Metaheuristic/Optimizer/Nature-inspired/Biology)

Evolutionary Computation (EC): A Modern Perspective |<...>| This is an online book, which is free-access and actively-updated (1st Edition: from 2023 to 2027).

Sample Code Collection of Nature-Inspired Computational Methods

An implementation of multi objective PSO for UAV path planning

This paper presents an intelligent sizing method to improve the performance and efficiency of a CMOS Ring Oscillator (RO). The proposed approach is based on the simultaneous utilization of powerful and new multi-objective optimization techniques along with a circuit simulator under a data link. The proposed optimizing tool creates a perfect trad…

SPGD: Search Party Gradient Descent algorithm, a Simple Gradient-Based Parallel Algorithm for Bound-Constrained Optimization. Link: https://www.mdpi.com/2227-7390/10/5/800

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…

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…

Simple console implementation of the Krill Herd (KH) algorithm

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)

Coursework for CSCI-633 Bio-Inspired Intelligent Systems

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.

Python3 framework for comparative study of recent metaheuristics

AHPSO: Altruistic Heterogeneous Particle Swarm Optimisation Algorithm. Source code for the paper: IEEE SSCI https://ieeexplore.ieee.org/document/9660149

Source code for the thesis entitled "Teoría de la aproximabilidad: análisis teórico y resolución práctica mediante algoritmos genéticos."

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…

Bio inspired algorithms in Elixir