proc One_City_2_Opt_NR(tour: var Tour_Array;
basePos: Tour_Index;
neighbor: Neighbor_Matrix;
position: var City_Position_In_Tour;
numberOfNeigbors: int): bool =
var
improved: bool
pos_Y2, i, j: Tour_Index
X1, X2, Y1, Y2: City_Number
radius: Length
improved = false
block two_loops:
for direction in [forward, backward]:
if direction == forward:
i = basePos
X1 = tour[i]
X2 = tour[(i+1) mod N]
else:
i = (N + basePos - 1) mod N
X2 = tour[i]
X1 = tour[(i+1) mod N] # == tour[basePos]
radius = distance(X1, X2)
for neighbor_number in 0 .. numberOfNeigbors-1:
Y1 = neighbor[X1][neighbor_number]
if direction == forward:
j = position[Y1]
Y2 = tour[(j+1) mod N]
else:
j = (N + position[Y1] - 1) mod N # pos[Y1] == j+1
Y2 = tour[j]
if (X2 == Y1) or (Y2 == X1):
continue
if distance(X1, Y1) > radius:
break
if Gain_From_2_Opt(X1, X2, Y1, Y2) > 0:
Make_2_Opt_Move(tour, i, j, position)
improved = true
break two_loops
result = improved
proc LS_2_Opt_NR(tour: var Tour_Array;
neighbor: Neighbor_Matrix;
neighborListLen: int = N-1) =
## Optimizes tour using 2-opt with neighbor lists and fixed radius
var
locallyOptimal: bool = false
improved: bool
position: City_Position_In_Tour
let numberOfNeigbors = min(neighborListLen, len(neighbor[0]))
position = Create_Position_In_Tour(tour)
while not locallyOptimal:
locallyOptimal = true
for basePos in 0 .. N-1:
improved = One_City_2_Opt_NR(tour, basePos, neighbor,
position, numberOfNeigbors)
if improved:
locallyOptimal = false
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