This is a software code for Evolutionary Deep Neural Network. Evolutionary Deep Neural Networks train neural networks using an evolutionary algorithm

Some part of USPEX source code is published here to help users to interface new codes with USPEX, or debug the previous interfaces. Now, It is also possible to add new fitness functions to USPEX. This will allow users to search for any property that they want using evolutionary algorithm USPEX.

Binary Genetic algorithm

Assignments and Classworks for evolutionary computing for Summer Semester 2018 at Hochschule Bonn-Rhein-Sieg

Travelling Salesman Problem (TSP)

bin packing problem best fit and metaheuristics. genetic algorithm, bonus particle swarm optimization. comparing both algorithms

The implementation of NSGAII-DMS.

This is a MATLAB project (developed in 2012) that solves 'Bin Packing' classic problem using evolutionary algorithms.

Collections of matlab code to analyze the Evolution Visual Neuro Experiments in the lab.

Cultural Algorithm (CA) in MATLAB

Seminarausarbeitung Medienwissenschaften: Dissonanzbewertung nach Levelt und Plomp und Generierung von Samples mittels Evolutionärer Algorithmen nach einer Idee von Sethares

Solutions for Evolutionary Computation Theory and Application assignments

Evolution Strategy (ES) in MATLAB according to the generational ES algorithm that search for a real-valued vector of length 30, which represents the thickness of each layer in a 30-layered optical system.

Uses an evolutionary algorithm to design hundreds of microbial strains for overproduction of a desired chemical, while minimizing the number of required designs

Files accompanying the paper: "A Multiobjective Approach to Homography Estimation", published in 2016.

Evolutionary and Genetic algorithms 2007

The project involves the implementation of classical optimization methods such as gradient descent and penalty methods, evolutionary algorithms such as genetic algorithm, particle swarm optimization, and ant colony optimization in the solution of optimization problems.

Invasive Weed Optimization (IWO) algorithm feature selection

Profit Maximisation Function using GA

Simulated Annealing Edge Detection