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sbse14's Introduction

sbse14

Whoo!

What have we here?

This is Jim Witschey's repo for his Search-Based Software Engineering class with Dr. Tim Menzies.

Awesome!

Yes. Yes, it is.

Um. What's witschey?

Glad you asked! witschey is a little directory full of goodies based on Dr. Tim Menzies' utilities. To test it, first,

pip install nose

then,

cd witschey
nosetests

sbse14's People

Contributors

mambocab avatar

Watchers

James Cloos avatar Chris Theisen avatar  avatar

sbse14's Issues

test searchers

these things are really important! and could well be super broken. they should be tested

fix state-holding in searchers

There should be a 'state' object passed around during search, holding

  • input vector
  • output vector
  • total energy

for

  • the best
  • the current state

performance test calculation of `A` for schwefel

Low-priority, but: is

    A = sum(a_matrix[i][j] * math.sin(alpha[j]) +
            b_matrix[i][j] * math.cos(alpha[j])
            for i in xrange(d) for j in xrange(d))

faster or slower than iterating over the ranges in two sums, then summing the sums? There would be a few more generators, but far fewer additions.

It probably doesn't matter at this scale, and the current implementation is more maintainable. But, I'm curious.

create some kind of searcher-constructor API

so something like

sc = SearcherConfig(MaxWalkSat, {'cooling_rate': .3})

and then to construct you could do

s = sc(model=ZDT1)

so all args could be passed at configuration time or at construction time.

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