'maxls':10,
'finite_diff_rel_step':None
}
}
elif args.solver == 'GlobalBestPSO':
kwargs = {
# 'x0': utils.get_random_x0((300,20), -5.12, 5.12),
'x0': utils.get_static_x0((300,20), -5.12, 5.12, seed=3.0),
'dimensions':20,
'bounds': np.full((20,2), (-5.12,5.12)),
'maxiter': 3000, #2750
'n_particles':300,
'options': {'c1':0.3,'c2': 0.65, 'w' : 0.95},
'pso_kwargs': {'bh_strategy' : 'periodic',
'velocity_clamp' : None,
'vh_strategy' : 'unmodified',
'center' : 1.0,
'ftol' : 1e-15,
'ftol_iter' : 3
}
}
if args.trace:
utils.run_with_callgraph(cfg.main, RastriginDigitalTwin(), args, kwargs)
else:
cfg.main(RastriginDigitalTwin(), args, kwargs)
'maxiter':
10000,
'restart_temp_ratio':
restart_temp,
'visit':
visit,
'accept':
accept,
'maxfun':
100000,
'no_local_search':
True,
'seed':
20
}
app = (cfg.main(RosenbrockDigitalTwin(), args, kwargs))
intermitentData = intermitentData.append(
{
'solver': '-------------------Default Parameters----------------',
},
ignore_index=True)
intermitentData = intermitentData.append(
{
'solver': 'dual_annealing',
'#DV': 50,
'initial_temp': kwargs['initial_temp'],
'accept': kwargs['accept'],
'visit': kwargs['visit'],
'restart_temp_ratio': kwargs['restart_temp_ratio'],
'no_local_search': kwargs['no_local_search'],
'fun': app.fun,
'gtol':1e-15,
'eps':0.1,
'maxfun':10000,
'maxls':10,
'finite_diff_rel_step':None
}
}
elif args.solver == 'GlobalBestPSO':
kwargs = {
'x0': utils.get_static_x0((400,21), -5, 10),
'dimensions':21,
'bounds': np.full((21,2), (-5, 10)),
'maxiter':3500,
'n_particles':400,
'options': {'c1':0.5,'c2': 0.7, 'w' : 0.9},
'pso_kwargs': {'bh_strategy' : 'periodic',
'velocity_clamp' : None,
'ftol_iter':3,
'vh_strategy' : 'unmodified',
'center' : 1.0,
'ftol' : 1e-1
}
}
if args.trace:
utils.run_with_callgraph(cfg.main, RosenbrockDigitalTwin(), args, kwargs)
else:
print(cfg.main(RosenbrockDigitalTwin(), args, kwargs))