An evolutionary algorithm library in C++
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Updated
May 28, 2024 - C++
An evolutionary algorithm library in C++
A template based C++ library for evolutionary algorithms.
This project is a successful attempt at making the P3 optimization method work with scheduling problems. I created it as a part of my bachelor's thesis. Afterwards it was used in research that led to a paper published at PPSN 2020 conference. The paper is available here: https://link.springer.com/chapter/10.1007/978-3-030-58112-1_29
The project intends to keep a collection of implementations of evolutionary algorithms for solving computational problems.
Motion planning of an autonomous mobile robot using genetic algorithm
A coarse grain parallel genetic algorithm to find real and complex roots of a polynomial of degree n.
Algebraic expression in tree form with algorith for finding best tree for given file with tuple: x - arg, y - arg, result
Simple Symbolic Regression
Artificial intelligence course at Wroclaw University of Science and Technology
This repository contains my adaptation/implementation of the Parameter-less population pyramid (P3) optimization method. It is my solution to the second evolutionary computation challenge, organized at Wrocław University of Science and Technology.
Code and notes for the Evolutionary Computation course
This repository is about three algoritms, such as strassen matrix, polynomial evaluation and Evolutionary calculation method. And C++ is used to calculate result tested in Ubuntu 18.04, Python and Matlab are used to plot the result.
Genetic algorithm made for Scientitifc circle of DarWin, at Worclaw University of Science and Technology
This repositories include the IEEE Congress on Evolutionary Computation Benchmark functions suite (IEEE CEC 2014 2017 2020 2022). You can use the untitled.m to form a figure of the benchmark function.
Solving Real-Parameter Optimization Problem using Real Coded Genetic Algorithm (RCGA)
Evolutionary algorithms written in c++: a target string guesser and a maximum value calculator
A Balanced Teaching Learning Based Optimization Algorithm. This project was developed under supervision of Dr. Keyvan RahimiZadeh and in collabotion with Prof. R. Venkata Rao.
Genetic Algorithm implemented for the Evolutionary Computation class
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