# Create objectiveFunction function
obj_function = MaxGroupDiff(problem['adj_matrix'],
problem['Gmax'] - problem['Gmin'])
# Create ACO instance
colony = antco.ACO(n_ants=n_ants,
graph=problem['adj_matrix'],
heuristic=None,
objective=obj_function,
iterations=iterations,
graph_type=graph_type,
evaporation=evaporation,
alpha=alpha,
beta=beta,
pheromone_init=pheromone_init,
path_limits=path_limits,
pheromone_update=pheromone_update,
n_jobs=n_jobs,
seed=seed,
tol=tol,
Q=Q,
R=R,
scaleScores=antco.tools.MinMaxScaler(max_val=1.0,
max_historic=True))
# Pre-process ACO instance
antco.preproc.apply(colony, accessory_node=True)
#antco.preproc.apply(colony, scale_heuristic={'min_val': 0.0, 'max_val': 1.0})
# Run algorithm
generations=generations,
tournsize=tournsize,
hof=elite,
n_jobs=ea_n_jobs,
genetic_objective_args={'cost_matrix': distance_matrix})
# Create ACO instance
colony = antco.ACO(n_ants=n_ants,
graph=adjacency_matrix,
heuristic=-1 * distance_matrix,
objective=obj_function,
iterations=iterations,
graph_type=graph_type,
evaporation=evaporation,
alpha=alpha,
beta=beta,
pheromone_init=pheromone_init,
path_limits=(n_nodes - 1, n_nodes),
tol=tol,
pheromone_update=pheromone_update,
n_jobs=n_jobs,
seed=seed,
scaleScores=antco.tools.MinMaxScaler(max_val=2.0,
max_historic=True))
# Pre-process ACO instance
antco.preproc.apply(colony, scale_heuristic={'min_val': 0.0, 'max_val': 1.0})
# Run algorithm
print(f'\nNumber of cities: {n_nodes}\n')
start = time.time()
'strategy': 'acs',
'decay': 0.1,
'graph_type': graph_type,
'weight': 1.0
}
aco_obj = MinDistance(distance_matrix, objective)
# Create ACO instance
colony = antco.ACO(n_ants=n_ants,
graph=adjacency_matrix,
heuristic=(-1 * distance_matrix),
objective=aco_obj,
iterations=iterations,
graph_type=graph_type,
evaporation=evaporation,
alpha=alpha,
beta=beta,
pheromone_init=pheromone_init,
path_limits=(n_nodes - 1, n_nodes),
pheromone_update=pheromone_update,
n_jobs=n_jobs,
seed=seed,
tol=tol,
Q=0.5)
antco.preproc.apply(colony, scale_heuristic={'min_val': 0.0, 'max_val': 1.0})
# Run algorithm
print(f'\nNumber of cities: {n_nodes}\n')
start = time.time()
report = antco.algorithm.antColonySystem(colony)
end = time.time()