Name:	Evolving Hydrofoils using DEAP - Software Design, Olin College
Authors:	Colin Snow Sparsh Bansal Thomas Jagielski
Version:	1.0
Website:	https://colinmsnow.github.io/evolve_foils/

Evolving Hydrofoils

Evolving Hydrofoils is an application of Evolutionary Algorithms offered in the DEAP to evolve hydrofoils, analysed on the basis of the ratio of Coefficient of Drag (Cd) with Coefficient of Lift (Cl). The physical quantities are determined using a FORTRAN based script, XFOIL, a subsonic airfoil development system. This is the final project whcih was developed by the authors during Software Design, a class at Olin College of Engineering.

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Evolving Hydrofoils Version 1.0 requires the following Python packages

1. classes.py

import random
import string
import sys
import numpy as np   # Used for statistics
from deap import algorithms
from deap import base
from deap import tools

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2. editAirfoil.py

import subprocess as sp
import shutil
import sys
import string
import time
import pandas as pd
import os
import evaluateFoil
import random
import numpy as np

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3. evaluateFoil.py

import subprocess as sp
import shutil
import sys
import string
import time
import pandas as pd
import os

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4. evolveAirfoil.py

import random
import string
import sys
import numpy    # Used for statistics
from deap import algorithms
from deap import base
from deap import tools
import classes

Installation

The easiest and fastest way to get the packages up and running:

pip install deap
sudo apt install xfoil

Documentation

We have added comments for every line of code that we felt could be beneficial for someone to understand the program

Note: We haved added comments especially on the imported packages and code so that we can fully understand the code written by someone else. We have cited the sources wherever appropriate.

Contributing Works

We used information from:

i:	Think Python - Allen Downey
ii:	Evolutionary Algorithms Toolbox - Software Design
iii:	DEAP - Computer Vision and Systems Laboratory, Université Laval
iiii:	XFOIL - Mark Drela, Massachusetts Institute of Technology

Built With

Think Python: https://www.greenteapress.com/thinkpython/thinkpython.pdf

Evolutionary Algorithms Toolbox: https://sd19spring.github.io/toolboxes/evolutionary-algorithms

Distributed Evolutionary Algorithms in Python: https://github.com/deap/deap

XFOIL: https://web.mit.edu/drela/Public/web/xfoil/

Authors

Colin Snow - Electrical and Computer Engineer, Olin College

Sparsh Bansal - Electrical and Computer Engineer, Olin College

Thomas Jagielski - Electrical and Computer Engineer, Olin College

Acknowledgments

We acknowledge all the guidance and remarks from the Software Design teaching team, as well as all our classmates for the peer reviews and helpful suggestions and recommendtaions.