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‎README.rst‎

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:target: https://www.apache.org/licenses/LICENSE-2.0
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.. |logo| image:: https://raw.githubusercontent.com/anyoptimization/pymoo/master/data/logo.png
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.. |logo| image:: https://github.com/anyoptimization/pymoo-data/blob/main/logo.png?raw=true
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:target: https://pymoo.org
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:alt: pymoo
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.. |animation| image:: https://raw.githubusercontent.com/anyoptimization/pymoo/master/data/animation.gif
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.. |animation| image:: https://github.com/anyoptimization/pymoo-data/blob/main/animation.gif?raw=true
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:target: https://pymoo.org
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:alt: pymoo
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‎docs/run.py‎

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IPYNBS = [e for e in files_from_folder(DOCS, regex='**/*.ipynb', skip=SKIP) if ".ipynb_checkpoints" not in e]
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failed = []
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for ipynb in IPYNBS:
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print(ipynb, end="")
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try:
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KERNEL = start_new_kernel(kernel_name='python3')
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run_ipynb(KERNEL, ipynb, overwrite=True, remove_trailing_empty_cells=True)
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run_ipynb(KERNEL, ipynb, overwrite=True, remove_trailing_empty_cells=True, verbose=False)
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print(" OK")
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except:
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failed.append(ipynb)
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print(" FAIL")
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print("FAILED:", len(failed))
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for e in failed:
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print(e)

‎docs/source/algorithms/hyperparameters.ipynb‎

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{
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"cell_type": "raw",
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"metadata": {
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"raw_mimetype": "text/restructuredtext",
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"pycharm": {
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"name": "#%% raw\n"
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}
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},
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"raw_mimetype": "text/restructuredtext"
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},
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"source": [
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".. _nb_algorithms_hyperparameters:"
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{
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"cell_type": "raw",
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"metadata": {
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"raw_mimetype": "text/restructuredtext",
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"pycharm": {
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"name": "#%% raw\n"
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}
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},
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"raw_mimetype": "text/restructuredtext"
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},
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"source": [
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".. admonition:: Info\n",
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"execution_count": null,
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"metadata": {
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"execution": {
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"iopub.execute_input": "2022-07-29T18:21:25.160243Z",
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"iopub.status.busy": "2022-07-29T18:21:25.159678Z",
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"iopub.status.idle": "2022-07-29T18:21:25.282419Z",
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"shell.execute_reply": "2022-07-29T18:21:25.281202Z"
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},
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"pycharm": {
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"name": "#%%\n"
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}
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"{'mating.jitter': <pymoo.core.variable.Choice at 0x7fddb9d20f10>,\n",
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" 'mating.CR': <pymoo.core.variable.Real at 0x7fddb9d20eb0>,\n",
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" 'mating.crossover': <pymoo.core.variable.Choice at 0x7fddb9b32ac0>,\n",
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" 'mating.F': <pymoo.core.variable.Real at 0x7fddb9d20e20>,\n",
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" 'mating.n_diffs': <pymoo.core.variable.Choice at 0x7fddb9d20dc0>,\n",
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" 'mating.selection': <pymoo.core.variable.Choice at 0x7fddb9d20d60>}"
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]
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},
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"execution_count": 1,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"outputs": [],
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"source": [
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"import json\n",
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"from pymoo.algorithms.soo.nonconvex.de import DE\n",
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"execution_count": null,
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"metadata": {
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"execution": {
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"iopub.execute_input": "2022-07-29T18:21:25.288658Z",
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"iopub.status.busy": "2022-07-29T18:21:25.288217Z",
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"iopub.status.idle": "2022-07-29T18:21:37.210503Z",
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"shell.execute_reply": "2022-07-29T18:21:37.209863Z"
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},
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"pycharm": {
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"name": "#%%\n"
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}
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"{'mutation.eta': 24.01087920319256, 'mutation.prob': 0.31947746041945063, 'crossover.zeta': 0.19712354833387533, 'crossover.eta': 0.06510354041781266, 'family_size': 9, 'n_parents': 10, 'n_offsprings': 2, 'pop_size': 122}\n",
122-
"Best solution found: \n",
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"X = [0.49931263 0.49971117 0.49995666 0.50012005 0.49995485 0.49954006\n",
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" 0.50013753 0.49992644 0.50004025 0.50003723]\n",
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"F = [8.13108862e-07]\n"
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]
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}
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],
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"outputs": [],
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"source": [
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"from pymoo.algorithms.hyperparameters import SingleObjectiveSingleRun, HyperparameterProblem\n",
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"from pymoo.algorithms.soo.nonconvex.g3pcx import G3PCX\n",
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"execution_count": null,
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"metadata": {
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"execution": {
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"iopub.execute_input": "2022-07-29T18:21:37.213740Z",
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"iopub.status.busy": "2022-07-29T18:21:37.213398Z",
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"iopub.status.idle": "2022-07-29T18:21:44.233047Z",
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"shell.execute_reply": "2022-07-29T18:21:44.232092Z"
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},
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"pycharm": {
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"name": "#%%\n"
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}
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"{'mutation.eta': 10.202478525408438, 'mutation.prob': 0.18217181670454258, 'crossover.zeta': 0.2672212328003948, 'crossover.eta': 0.038505365248462986, 'family_size': 10, 'n_parents': 4, 'n_offsprings': 5, 'pop_size': 169}\n",
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"Best solution found: \n",
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"X = [0.49931151 0.49958918 0.49947128 0.50076286 0.50029319 0.50035433\n",
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" 0.4995032 0.49959396 0.49910168 0.50016305]\n",
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"F = [2.96104366e-06]\n"
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]
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}
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],
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"outputs": [],
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"source": [
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"from pymoo.algorithms.hyperparameters import SingleObjectiveSingleRun, HyperparameterProblem\n",
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"from pymoo.algorithms.soo.nonconvex.g3pcx import G3PCX\n",
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"execution_count": null,
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"metadata": {
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"execution": {
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"iopub.execute_input": "2022-07-29T18:21:44.237637Z",
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"iopub.status.busy": "2022-07-29T18:21:44.237353Z",
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"iopub.status.idle": "2022-07-29T18:22:00.709442Z",
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"shell.execute_reply": "2022-07-29T18:22:00.708080Z"
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},
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"pycharm": {
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"name": "#%%\n"
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}
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"=================================================\n",
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"n_gen | n_eval | f_avg | f_min \n",
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"=================================================\n",
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" 1 | 5 | 0.0011469191 | 0.0001158058\n",
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" 2 | 10 | 0.0003004380 | 1.324378E-06\n",
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" 3 | 15 | 0.0001083746 | 1.324378E-06\n",
251-
" 4 | 20 | 0.0000604004 | 1.324378E-06\n",
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" 5 | 25 | 6.940028E-06 | 1.324378E-06\n",
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" 6 | 30 | 2.363478E-06 | 1.324378E-06\n",
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" 7 | 35 | 2.184765E-06 | 1.324378E-06\n",
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" 8 | 40 | 1.801311E-06 | 1.290965E-06\n",
256-
" 9 | 45 | 1.457222E-06 | 7.690855E-07\n",
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" 10 | 50 | 1.457222E-06 | 7.690855E-07\n",
258-
"{'mutation.eta': 3.003840525176007, 'mutation.prob': 0.2613802441259011, 'crossover.zeta': 0.2092756091839343, 'crossover.eta': 0.13100894947710487, 'family_size': 9, 'n_parents': 7, 'n_offsprings': 4, 'pop_size': 63}\n",
259-
"Best solution found: \n",
260-
"X = [0.50058063 0.50049996 0.49944047 0.49958107 0.50008284 0.50007215\n",
261-
" 0.49972702 0.50003434 0.49996608 0.50038491]\n",
262-
"F = [1.31273882e-06]\n"
263-
]
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}
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],
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"outputs": [],
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"source": [
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"from pymoo.algorithms.hyperparameters import HyperparameterProblem, MultiRun, stats_single_objective_mean\n",
268227
"from pymoo.algorithms.soo.nonconvex.g3pcx import G3PCX\n",
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"execution_count": null,
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"metadata": {
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"execution": {
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"iopub.execute_input": "2022-07-29T18:22:00.714327Z",
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"iopub.status.busy": "2022-07-29T18:22:00.713885Z",
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"iopub.status.idle": "2022-07-29T18:22:17.733850Z",
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"shell.execute_reply": "2022-07-29T18:22:17.733006Z"
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},
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"pycharm": {
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"name": "#%%\n"
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}
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"=================================================\n",
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"n_gen | n_eval | f_avg | f_min \n",
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"=================================================\n",
324-
" 1 | 5 | 5.298000E+02 | 5.030000E+02\n",
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" 2 | 10 | 4.895333E+02 | 4.276667E+02\n",
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" 3 | 15 | 4.763333E+02 | 4.276667E+02\n",
327-
" 4 | 20 | 4.571333E+02 | 4.276667E+02\n",
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" 5 | 25 | 4.411333E+02 | 4.276667E+02\n",
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" 6 | 30 | 4.382000E+02 | 4.276667E+02\n",
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" 7 | 35 | 4.360667E+02 | 4.276667E+02\n",
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" 8 | 40 | 4.200667E+02 | 3.850000E+02\n",
332-
" 9 | 45 | 4.068667E+02 | 3.850000E+02\n",
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" 10 | 50 | 4.068667E+02 | 3.850000E+02\n",
334-
"{'mutation.eta': 22.546590161392896, 'mutation.prob': 0.13789985939149485, 'crossover.zeta': 0.20871365511506024, 'crossover.eta': 0.12039717249146664, 'family_size': 10, 'n_parents': 7, 'n_offsprings': 4, 'pop_size': 65}\n",
335-
"Best solution found: \n",
336-
"X = [0.5005912 0.499759 0.50062838 0.49857344 0.49949559 0.50094711\n",
337-
" 0.49905868 0.49954207 0.49892447 0.50003376]\n",
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"F = [6.24263744e-06]\n"
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]
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}
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],
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"outputs": [],
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"source": [
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"from pymoo.algorithms.hyperparameters import HyperparameterProblem, MultiRun, stats_avg_nevals\n",
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"from pymoo.algorithms.soo.nonconvex.g3pcx import G3PCX\n",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.8"
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"version": "3.10.5"
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},
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"pycharm": {
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"stem_cell": {
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}
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}

‎docs/source/algorithms/index.ipynb‎

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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.12"
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"version": "3.10.5"
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},
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"pycharm": {
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"stem_cell": {

‎docs/source/algorithms/initialization.ipynb‎

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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"execution_count": null,
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"metadata": {
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"execution": {
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"iopub.execute_input": "2022-07-03T13:11:22.882070Z",
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"iopub.status.busy": "2022-07-03T13:11:22.876189Z",
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"iopub.status.idle": "2022-07-03T13:11:23.341960Z",
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"shell.execute_reply": "2022-07-03T13:11:23.341258Z"
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"iopub.execute_input": "2022-07-29T18:22:22.674957Z",
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"iopub.status.busy": "2022-07-29T18:22:22.674481Z",
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"iopub.status.idle": "2022-07-29T18:22:22.797082Z",
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"shell.execute_reply": "2022-07-29T18:22:22.796277Z"
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},
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"tags": []
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},
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.12"
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"version": "3.10.5"
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},
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"pycharm": {
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"stem_cell": {

‎docs/source/algorithms/list.ipynb‎

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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.5"
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},
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"pycharm": {
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},
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"nbformat": 4,
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}
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}

‎docs/source/algorithms/moo/age.ipynb‎

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‎docs/source/algorithms/moo/age2.ipynb‎

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‎docs/source/algorithms/moo/ctaea.ipynb‎

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‎docs/source/algorithms/moo/dnsga2.ipynb‎

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