Semi-random funky stuff, mainly for my PhD experiments and articles. Contains calculations and algorithm implementations for various applied mathematics and astrophysics articles I worked on.

Python library for evolutionary and swarm intelligence algorithms.

Evolutionary Algorithms Framework

NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO

High-performance metaheuristics for optimization coded purely in Julia.

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

Asynchronous Differential Evolution

Implementation of data mining methods that use evolutionary algorithms

example code for how to run a best-of-random differential evolution optimization method in Fortran

Functions, examples and data from the book "Numerical Methods and Optimization in Finance" by M. Gilli, D. Maringer and E. Schumann (2011), ISBN 978-0123756626.

Functions, examples and data from the first and the second edition of "Numerical Methods and Optimization in Finance" by M. Gilli, D. Maringer and E. Schumann (2019, ISBN:978-0128150658). This repository mirrors https://gitlab.com/NMOF/NMOF .

OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions

Automated Extraction of TFT Parameters for Simulation (SPICE MOS Level 3)

Vita - Genetic Programming Framework

Robot navigation based on Differential Evolution (DE) algorithm.

Examples on numerical optimization

A comprehensive suite of Python-based machine learning models for predictive analytics, employing different evolutionary algorithms for data analysis across various topics.

Particle methods for 1D conservation laws

Density evolution for LDPC codes construction under AWGN-channel: reciprocal-channel approximation (RCA), Gaussian Evolution, Covariance Evolution