Genetic algorithm - timetable: Difference between revisions
Mr. MacKenty (talk | contribs) (Created page with "right|frame|This a problem set for you to work through <ref>http://www.flaticon.com/</ref> This is a problem set. Some of these are easy, others are far m...") |
Mr. MacKenty (talk | contribs) |
||
| Line 22: | Line 22: | ||
== timetable generator == | == timetable generator == | ||
<syntaxhighlight> | <syntaxhighlight lang="python"> | ||
import random | import random | ||
| Line 66: | Line 66: | ||
</syntaxhighlight> | </syntaxhighlight> | ||
== How you will be assessed == | == How you will be assessed == | ||
Revision as of 09:18, 9 December 2021
This is a problem set. Some of these are easy, others are far more difficult. The purpose of these problems sets are:
- to build your skill applying computational thinking to a problem
- to assess your knowledge and skills of different programming practices
Learning objective[edit]
The learning objective for this problem set is to apply your understanding of genetic algorithms.
The Problem[edit]
Please find below a python file which creates 4 dictionaries of requests, one for grade 9, 10, 11 and 12.
1. Please construct a genetic algorithm which ideally meets the maximum number of requests. 2. Your algorithm should meet the maximum number of requests. 3. Your algorithm should have a fitness function 4. your algorithm should have selection strategy
timetable generator[edit]
import random
COURSE_SIZE = 15
CLASS_SIZE = 50
TEACHERS_SIZE = 10
ROOM_SIZE = 10
BLOCKS_SIZE = 4
CAPACITY_MIN = 18
CAPACITY_MAX = 25
REQUEST_COURSE_SIZE = 6
courses = [i for i in range(COURSE_SIZE)]
grade_9_students = [i for i in range(CLASS_SIZE)]
grade_10_students = [i for i in range(CLASS_SIZE, CLASS_SIZE*2)]
grade_11_students = [i for i in range(CLASS_SIZE*2, CLASS_SIZE*3)]
grade_12_students = [i for i in range(CLASS_SIZE*3, CLASS_SIZE*4)]
teachers = [i for i in range(TEACHERS_SIZE)]
rooms = [i for i in range(ROOM_SIZE)]
# for this timetable, there are 4 blocks per day
blocks = [i for i in range(BLOCKS_SIZE)]
# Capacity is the room ID and then capacity of course:
capacity = [[i, random.randint(CAPACITY_MIN, CAPACITY_MAX)] for i in rooms]
def generate_request_dict(grade):
request_dict = {}
for i in grade:
request_dict[i] = random.sample(courses, REQUEST_COURSE_SIZE)
return request_dict
requests_dict_9, requests_dict_10, requests_dict_11, requests_dict_12 = generate_request_dict(grade_9_students), generate_request_dict(grade_10_students), generate_request_dict(grade_11_students), generate_request_dict(grade_12_students)
# to see the dictionaries for each part of our schedule, uncomment the lines below
# and execute this program
print(requests_dict_10)
How you will be assessed[edit]
Your solution will be graded using the following axis:
Scope
- To what extent does your code implement the features required by our specification?
- To what extent is there evidence of effort?
Correctness
- To what extent did your code meet specifications?
- To what extent did your code meet unit tests?
- To what extent is your code free of bugs?
Design
- To what extent is your code written well (i.e. clearly, efficiently, elegantly, and/or logically)?
- To what extent is your code eliminating repetition?
- To what extent is your code using functions appropriately?
Style
- To what extent is your code readable?
- To what extent is your code commented?
- To what extent are your variables well named?
- To what extent do you adhere to style guide?
References[edit]
A possible solution[edit]
Click the expand link to see one possible solution, but NOT before you have tried and failed!
not yet!