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pbcost default values set to inf #522

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pbcost default values set to inf #522

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13 changes: 6 additions & 7 deletions docs/examples/tutorials/custom_optimization_loop.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -111,13 +111,13 @@
"name": "stdout",
"output_type": "stream",
"text": [
"Iteration: 1 | my_swarm.best_cost: 0.0009\n",
"Iteration: 1 | my_swarm.best_cost: 0.0070\n",
"Iteration: 21 | my_swarm.best_cost: 0.0000\n",
"Iteration: 41 | my_swarm.best_cost: 0.0000\n",
"Iteration: 61 | my_swarm.best_cost: 0.0000\n",
"Iteration: 81 | my_swarm.best_cost: 0.0000\n",
"The best cost found by our swarm is: 0.0000\n",
"The best position found by our swarm is: [3.30572365e-19 2.93696483e-19]\n"
"The best position found by our swarm is: [1.77943664e-18 2.49653561e-18]\n"
]
}
],
Expand All @@ -126,7 +126,6 @@
"for i in range(iterations):\n",
" # Part 1: Update personal best\n",
" my_swarm.current_cost = f(my_swarm.position) # Compute current cost\n",
" my_swarm.pbest_cost = f(my_swarm.pbest_pos) # Compute personal best pos\n",
" my_swarm.pbest_pos, my_swarm.pbest_cost = P.compute_pbest(my_swarm) # Update and store\n",
" \n",
" # Part 2: Update global best\n",
Expand Down Expand Up @@ -163,15 +162,15 @@
"name": "stderr",
"output_type": "stream",
"text": [
"2019-05-18 15:39:20,737 - pyswarms.single.global_best - INFO - Optimize for 100 iters with {'c1': 0.6, 'c2': 0.3, 'w': 0.4}\n",
"pyswarms.single.global_best: 100%|██████████|100/100, best_cost=0.00418\n",
"2019-05-18 15:39:21,942 - pyswarms.single.global_best - INFO - Optimization finished | best cost: 0.004177699645933291, best pos: [0.03663518 0.05325001]\n"
"2023-10-20 14:44:14,240 - pyswarms.single.global_best - INFO - Optimize for 100 iters with {'c1': 0.6, 'c2': 0.3, 'w': 0.4}\n",
"pyswarms.single.global_best: 100%|██████████|100/100, best_cost=0.00596\n",
"2023-10-20 14:44:14,358 - pyswarms.single.global_best - INFO - Optimization finished | best cost: 0.0059581279236955356, best pos: [0.04219012 0.06463839]\n"
]
},
{
"data": {
"text/plain": [
"(0.004177699645933291, array([0.03663518, 0.05325001]))"
"(0.0059581279236955356, array([0.04219012, 0.06463839]))"
]
},
"execution_count": 4,
Expand Down
5 changes: 4 additions & 1 deletion pyswarms/backend/swarms.py
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Original file line number Diff line number Diff line change
Expand Up @@ -96,7 +96,6 @@ class Swarm(object):
)
pbest_cost = attrib(
type=np.ndarray,
default=np.array([]),
validator=instance_of(np.ndarray),
)
best_cost = attrib(
Expand All @@ -119,3 +118,7 @@ def dimensions_default(self):
@pbest_pos.default
def pbest_pos_default(self):
return self.position

@pbest_cost.default
def pbest_cost_default(self):
return np.full(shape=(self.position.shape[0],), fill_value=np.inf)