anchor_y = [0, 5, 0, -5, 0]
target_x = np.random.uniform(-5, 5,
size=(NumberOfTargetNode)) #随机生成50个数，范围在-5到5
target_y = np.random.uniform(-5, 5, size=(NumberOfTargetNode))
target_absl_array_x = []
target_absl_array_y = []
c**t = 0
#根据实际坐标生成模拟的距离阵
P = [[0, 50, 100, 50, 25, 1], [50, 0, 50, 100, 25, 1], [100, 50, 0, 50, 25, 1],
[50, 100, 50, 0, 25, 1], [25, 25, 25, 25, 0, 1], [1, 1, 1, 1, 1, 0]]
for i in range(NumberOfTargetNode):
print i
D2 = []
for j in range(NumberOfAnchorNode):
d = getDist([target_x[i], target_y[i]], [anchor_x[j], anchor_y[j]])
d = addGaussNoise(d, 0, 0.5)
D2.append(d * d)
for k in range(NumberOfAnchorNode):
P[k][NumberOfAnchorNode] = D2[k]
for k in range(NumberOfAnchorNode):
P[NumberOfAnchorNode][k] = D2[k]
Loc, x, y = mds_fun(P, NumberOfTotalNode)
target_realtive_x = x[5]
target_realtive_y = y[5]
parm, diff = fin_pso(anchor_x, anchor_y, x[0:5], y[0:5])
print "最小Difference值：", diff
if (diff > 50):
c**t += 1
parm, diff = fin_pso(anchor_x, anchor_y, d2, target_realtive_x,
target_realtive_y)
return parm, diff
np.set_printoptions(suppress=True) #禁止科学计数法显示结果
anchor_x = [-5, 0, 5, 0, 0]
anchor_y = [0, 5, 0, -5, 0]
target_x = 2.0
target_y = 2.0
NumberOfAnchorNode = 5
NumberOfTotalNode = NumberOfAnchorNode + 1
d2 = [] #目标节点到锚节点的距离平方
for j in range(NumberOfAnchorNode):
d = getDist([target_x, target_y], [anchor_x[j], anchor_y[j]])
d2.append(d * d)
#根据实际坐标生成模拟的距离阵
P = [[0, 50, 100, 50, 25, 1], [50, 0, 50, 100, 25, 1], [100, 50, 0, 50, 25, 1],
[50, 100, 50, 0, 25, 1], [25, 25, 25, 25, 0, 1], [1, 1, 1, 1, 1, 0]]
for k in range(NumberOfAnchorNode):
P[k][NumberOfAnchorNode] = d2[k]
for k in range(NumberOfAnchorNode):
P[NumberOfAnchorNode][k] = d2[k]
parm, diff = getLocAfterPSO(P, d2)
print "最小Difference值："
print diff
