def testDefault(self):
"""
graph = [[0, 2 , 3 , 4 , 6 , 8 , 2],
[2, 0 , 7 , 10, 5 , 1 , 22],
[3, 7 , 0 , 5 , 10, 30, 3],
[4, 10, 5 , 0 , 55, 1 , 7],
[6, 5 , 10, 55, 0 , 1 , 15],
[8, 1 , 30, 1 , 1 , 0 , 19],
[2, 22, 3 , 7 , 15, 19, 0]]
"""
for j in range(5,11):
win=0
rand = Random()
rand.warmupRandom(.2342987345987345)
rounds=10
print "Tour of %s Cities" % j
for i in range(rounds):
rand.warmupRandom(rand.random())
graph = createGraph(j,rand)
tspga = TSPGeneticAlgorithm(rand, graph, 500, 30, 0.6, 0.033);
#ga.common.initReport(tspga)
resultsDir=createResultsDir('tsp_%s' % j)
tspga.run(outputDir=resultsDir)
graphTSPResults(resultsDir,j)
max,min = maxmin(graph)
print "(%d)algorithm: %d, actual: %d" % (i,tspga.minx,min)
win+=1 if min==tspga.minx else 0
print "accuracy:%d/%d" % (win,rounds)
self.assertGreater(float(win)/float(rounds), .89, "accuracy not good enough")
def testBigTours(self):
for j in range(15,20):
rand = Random()
rand.warmupRandom(.2342987345987345)
rounds=10
print "Tour of %s Cities" % j
for i in range(rounds):
rand.warmupRandom(rand.random())
graph = createGraph(j,rand)
tspga = TSPGeneticAlgorithm(rand, graph, 100, 100, 0.6, 0.033);
resultsDir=createResultsDir('tsp_%s' % j)
tspga.run(outputDir=resultsDir)
graphTSPResults(resultsDir,j)
