CS 345: Programming Language Paradigms
CSP and Genetic Algorithms Pseudo-homework
Assigned: September 29
Note: this is a 'pseudo-homework.' It's some extra questions designed
to give you some extra practice working with CSPs and genetic
algorithms. You are not required to do this; it's strictly
voluntary. However, there will be CSP and GA material on the midterm,
so you may find doing this helpful.
If you turn it in to me before Monday October 3, I will look at it
and give you feedback. (I will most likely talk about it in the review
session as well.)
Note: As far as the exam goes, I'm interested in finding
out whether you understand the basics of how GAs and CSPs work. Focus
on the big picture.
Note #2: If you're feeling overwhelmed, you should start by
focusing on studying for the test, then working on the project, then
doing the pen-and-paper questions.
- Suppose that we are solving the 8-queens problem with a GA, and
we have the following solutions:
- 101 001 010 110 111 101 011 100
- 111 101 011 100 101 001 010 110
- Give the decimal representation that corresponds to these
bitstrings. (i.e. what row is each queen occupying?)
- Are either of these valid solutions? Why or why not?
- Suppose that we crossover between the 12th and 13th bit. What are
the two children?
- When solving the N-queens problem, we'll do much better if we
take care to only perform crossover between 'row boundaries'; that is,
between 3 and 4, 6 and 7, 9 and 10, etc. Why is that?
- What is the purpose of mutation? Concisely explain why mutation
helps improve the performance of a GA.
- What does the Schema Theorem say? I don't expect you to be able
to prove it, but you should be able to explain (in words) what it
- Give a precise formulation for the following problem as a CSP:
what are the variables of interest, what are their possible values,
and what are the constraints?
We need to schedule USF's CS classes for next semester. The following
classes will be offered: CS I, CS II, Data Structures, Architecture,
Senior Project, Software Engineering, Compilers, Distributed Software
Development, Operating Systems, Internet Systems Research. Each professor
will teach at most two classes. All classes must be taught in Harney
- Step through the Bay Area map-coloring problem by hand (with both
three and four colors), indicating any backtracking you need to
do. Try it with both the least-constraining variable heuristic and a
second heuristic we'll call most constraining variable (pick the
next county which restricts further choices as much as
possible). Which heuristic produces better performance?