def __init__(self, weights):
Benchmark.__init__(self, len(weights))
self.weights = weights
self.components = [swarm.TrailComponent((i, j), value=(1 / weights[i][j])) for i, j in itertools.permutations(range(len(weights)), 2)]
self.bias = 0.5
self.bounder = ec.DiscreteBounder([i for i in range(len(weights))])
self.maximize = True
self._use_ants = False
def __init__(self, capacity, items, duplicates=False):
Benchmark.__init__(self, len(items))
self.capacity = capacity
self.items = items
self.components = [swarm.TrailComponent((item[0]), value=item[1]) for item in items]
self.duplicates = duplicates
self.bias = 0.5
if self.duplicates:
max_count = [self.capacity // item[0] for item in self.items]
self.bounder = ec.DiscreteBounder([i for i in range(max(max_count)+1)])
else:
self.bounder = ec.DiscreteBounder([0, 1])
self.maximize = True
self._use_ants = False