diff --git a/docs/index.html b/docs/index.html
index d0e1c9b..3168526 100644
--- a/docs/index.html
+++ b/docs/index.html
@@ -91,17 +91,17 @@ OPL – Optimisation problem library
10 |
2 |
|
- |
- |
+ box |
+ >=1 |
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|
no |
|
|
|
- Parameters of the Modules of the Automatic Train Operation are optimized; two objectives: minimizing energy consumption and minimizing driving duration. |
- |
+ Parameters of the modules of the Automatic Train Operation are optimized; Parameters for the trajectory planning (first module) are maximum velocity (v_max), weighting of objectives (energy, time, comfort) in planning (lambda_e, lambda_s, lambda_t), step width (ds), maximum lateral acceleration (aq_max); as control module a PID controller is implemented, where the ki and kp parameters are optimized. The objectives are minimizing travel time and energy consumption. The evaluation takes several minutes, because the pipeline includes also a simulation. |
|
+ Multi-Objective Pipeline Optimisation and Configuration of Automatic Train Operation Trajectories | Carolin Mensendiek; Henrik Zeipel; Oliver Ludger Preuß; Moritz Vinzent Seiler; Walter Sextro; Heike Trautmann, https://doi.org/10.1145/3795101.3805368 |
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unimodal |
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@@ -117,7 +117,7 @@ OPL – Optimisation problem library
|
|
|
- |
+ >=1 |
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|
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@@ -132,7 +132,7 @@ OPL – Optimisation problem library
>=2 |
2 |
|
- unknown | box |
+ box | unknown |
>=2 |
|
|
@@ -210,11 +210,11 @@ OPL – Optimisation problem library
fn_emdo |
Electric Motor Design Optimization |
Problem |
- integer | continuous |
+ continuous | integer |
26 |
1 |
noisy |
- unknown | box |
+ box | unknown |
>=14 |
|
noisy |
@@ -292,7 +292,7 @@ OPL – Optimisation problem library
fn_gasoline |
Gasoline direct injection engine design |
Problem |
- integer | continuous |
+ continuous | integer |
14 |
2 |
multi-fidelity |
@@ -661,7 +661,7 @@ OPL – Optimisation problem library
gen_ealain |
Ealain |
Generator |
- binary | continuous | integer |
+ integer | binary | continuous |
>=3 |
[1, 10, 2, 3, 4, 5, 6, 7, 8, 9] |
dynamic | multi-fidelity |
@@ -767,11 +767,11 @@ OPL – Optimisation problem library
|
>=1 |
|
- IOHGNBG | GNBG-II |
+ GNBG-II | IOHGNBG |
|
|
- https://github.com/IOHprofiler/IOHGNBG | https://github.com/rohitsalgotra/GNBG-II |
- IOHprofiler version of GNBG | Generalized Numerical Benchmark Generator version 2 |
+ https://github.com/rohitsalgotra/GNBG-II | https://github.com/IOHprofiler/IOHGNBG |
+ Generalized Numerical Benchmark Generator version 2 | IOHprofiler version of GNBG |
|
|
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@@ -1030,7 +1030,7 @@ OPL – Optimisation problem library
gen_randoptgen |
RandOptGen |
Generator |
- binary | continuous | integer |
+ integer | binary | continuous |
>=3 |
[1, 10, 2, 3, 4, 5, 6, 7, 8, 9] |
|
@@ -1194,7 +1194,7 @@ OPL – Optimisation problem library
suite_amvop |
AMVOP |
Suite |
- categorical | continuous | integer |
+ integer | categorical | continuous |
>=3 |
1 |
|
@@ -1317,7 +1317,7 @@ OPL – Optimisation problem library
suite_bbob_biobj_mixint |
BBOB-biobj-mixint |
Suite |
- integer | continuous |
+ continuous | integer |
10-320 |
2 |
|
@@ -1440,7 +1440,7 @@ OPL – Optimisation problem library
suite_bbob_mixint |
BBOB-mixint |
Suite |
- integer | continuous |
+ continuous | integer |
10-320 |
1 |
|
@@ -1710,11 +1710,11 @@ OPL – Optimisation problem library
|
>=1 |
|
- IOHexperimenter | CEC2013 reference code |
+ CEC2013 reference code | IOHexperimenter |
C++/Python |
|
- https://github.com/IOHprofiler/IOHexperimenter | https://github.com/P-N-Suganthan/CEC2013 |
- IOHprofiler experimenter framework | Suganthan's reference implementation |
+ https://github.com/P-N-Suganthan/CEC2013 | https://github.com/IOHprofiler/IOHexperimenter |
+ Suganthan's reference implementation | IOHprofiler experimenter framework |
|
|
|
@@ -1833,11 +1833,11 @@ OPL – Optimisation problem library
|
>=1 |
|
- IOHexperimenter | CEC2022 reference code |
+ CEC2022 reference code | IOHexperimenter |
C++/Python |
|
- https://github.com/IOHprofiler/IOHexperimenter | https://github.com/P-N-Suganthan/2022-SO-BO |
- IOHprofiler experimenter framework | Suganthan's reference implementation |
+ https://github.com/P-N-Suganthan/2022-SO-BO | https://github.com/IOHprofiler/IOHexperimenter |
+ Suganthan's reference implementation | IOHprofiler experimenter framework |
|
|
|
@@ -1876,7 +1876,7 @@ OPL – Optimisation problem library
|
CFD test problem suite |
|
- {'15m', '30s'} |
+ {'30s', '15m'} |
https://bitbucket.org/arahat/cfd-test-problem-suite |
Expensive real-world CFD-based test problems |
|
@@ -1891,7 +1891,7 @@ OPL – Optimisation problem library
suite_cre |
CRE |
Suite |
- integer | continuous |
+ continuous | integer |
6-14 |
[2, 3, 4, 5] |
|
@@ -1932,7 +1932,7 @@ OPL – Optimisation problem library
suite_cuter |
CUTEr |
Suite |
- binary | continuous | integer |
+ integer | binary | continuous |
>=3 |
1 |
|
@@ -1973,11 +1973,11 @@ OPL – Optimisation problem library
suite_cutest |
CUTEst |
Suite |
- binary | continuous | integer |
+ integer | binary | continuous |
>=3 |
1 |
|
- unknown | box |
+ box | unknown |
>=2 |
|
|
@@ -2178,11 +2178,11 @@ OPL – Optimisation problem library
suite_expobench |
EXPObench |
Suite |
- continuous | categorical | integer |
+ categorical | continuous | integer |
30-405 |
1 |
noisy |
- unknown | box |
+ box | unknown |
>=2 |
|
["observational", "real-life"] |
@@ -2204,7 +2204,7 @@ OPL – Optimisation problem library
10-135 |
EXPObench |
Python |
- {'2 seconds', '80 seconds'} |
+ {'80 seconds', '2 seconds'} |
https://github.com/AlgTUDelft/ExpensiveOptimBenchmark |
EXPensive Optimization benchmark library (wind farm layout, gas filter design, pipe shape, hyperparameter tuning, hospital simulation) |
|
@@ -2325,11 +2325,11 @@ OPL – Optimisation problem library
|
>=1 |
|
- IOHGNBG | GNBG-II |
+ GNBG-II | IOHGNBG |
|
|
- https://github.com/IOHprofiler/IOHGNBG | https://github.com/rohitsalgotra/GNBG-II |
- IOHprofiler version of GNBG | Generalized Numerical Benchmark Generator version 2 |
+ https://github.com/rohitsalgotra/GNBG-II | https://github.com/IOHprofiler/IOHGNBG |
+ Generalized Numerical Benchmark Generator version 2 | IOHprofiler version of GNBG |
|
|
|
@@ -3039,7 +3039,7 @@ OPL – Optimisation problem library
suite_re |
RE |
Suite |
- integer | continuous |
+ continuous | integer |
4-14 |
[2, 3, 4, 5, 6, 7, 8, 9] |
|
@@ -3080,7 +3080,7 @@ OPL – Optimisation problem library
suite_rwmvop |
RWMVOP |
Suite |
- categorical | continuous | integer |
+ integer | categorical | continuous |
>=3 |
1 |
|
@@ -3270,7 +3270,7 @@ OPL – Optimisation problem library
|
TulipaEnergyModel.jl |
Julia / JuMP |
- {'minutes', 'hours'} |
+ {'hours', 'minutes'} |
https://tulipaenergy.github.io/TulipaEnergyModel.jl/stable/ | https://github.com/TulipaEnergy/Tulipa-OBZ-CaseStudy |
Large linear program for optimal investment and operation of energy systems |
|
diff --git a/docs/problems.html b/docs/problems.html
index ab6e46f..cde0429 100644
--- a/docs/problems.html
+++ b/docs/problems.html
@@ -65,17 +65,17 @@
10 |
2 |
|
- |
- |
+ box |
+ >=1 |
|
|
no |
|
|
|
- Parameters of the Modules of the Automatic Train Operation are optimized; two objectives: minimizing energy consumption and minimizing driving duration. |
- |
+ Parameters of the modules of the Automatic Train Operation are optimized; Parameters for the trajectory planning (first module) are maximum velocity (v_max), weighting of objectives (energy, time, comfort) in planning (lambda_e, lambda_s, lambda_t), step width (ds), maximum lateral acceleration (aq_max); as control module a PID controller is implemented, where the ki and kp parameters are optimized. The objectives are minimizing travel time and energy consumption. The evaluation takes several minutes, because the pipeline includes also a simulation. |
|
+ Multi-Objective Pipeline Optimisation and Configuration of Automatic Train Operation Trajectories | Carolin Mensendiek; Henrik Zeipel; Oliver Ludger Preuß; Moritz Vinzent Seiler; Walter Sextro; Heike Trautmann, https://doi.org/10.1145/3795101.3805368 |
|
unimodal |
|
@@ -91,7 +91,7 @@
|
|
|
- |
+ >=1 |
|
|
|
@@ -106,7 +106,7 @@
>=2 |
2 |
|
- unknown | box |
+ box | unknown |
>=2 |
|
|
@@ -184,11 +184,11 @@
fn_emdo |
Electric Motor Design Optimization |
Problem |
- integer | continuous |
+ continuous | integer |
26 |
1 |
noisy |
- unknown | box |
+ box | unknown |
>=14 |
|
noisy |
@@ -266,7 +266,7 @@
fn_gasoline |
Gasoline direct injection engine design |
Problem |
- integer | continuous |
+ continuous | integer |
14 |
2 |
multi-fidelity |
@@ -635,7 +635,7 @@
gen_ealain |
Ealain |
Generator |
- binary | continuous | integer |
+ integer | binary | continuous |
>=3 |
[1, 10, 2, 3, 4, 5, 6, 7, 8, 9] |
dynamic | multi-fidelity |
@@ -741,11 +741,11 @@
|
>=1 |
|
- IOHGNBG | GNBG-II |
+ GNBG-II | IOHGNBG |
|
|
- https://github.com/IOHprofiler/IOHGNBG | https://github.com/rohitsalgotra/GNBG-II |
- IOHprofiler version of GNBG | Generalized Numerical Benchmark Generator version 2 |
+ https://github.com/rohitsalgotra/GNBG-II | https://github.com/IOHprofiler/IOHGNBG |
+ Generalized Numerical Benchmark Generator version 2 | IOHprofiler version of GNBG |
|
|
|
@@ -1004,7 +1004,7 @@
gen_randoptgen |
RandOptGen |
Generator |
- binary | continuous | integer |
+ integer | binary | continuous |
>=3 |
[1, 10, 2, 3, 4, 5, 6, 7, 8, 9] |
|
@@ -1168,7 +1168,7 @@
suite_amvop |
AMVOP |
Suite |
- categorical | continuous | integer |
+ integer | categorical | continuous |
>=3 |
1 |
|
@@ -1291,7 +1291,7 @@
suite_bbob_biobj_mixint |
BBOB-biobj-mixint |
Suite |
- integer | continuous |
+ continuous | integer |
10-320 |
2 |
|
@@ -1414,7 +1414,7 @@
suite_bbob_mixint |
BBOB-mixint |
Suite |
- integer | continuous |
+ continuous | integer |
10-320 |
1 |
|
@@ -1684,11 +1684,11 @@
|
>=1 |
|
- IOHexperimenter | CEC2013 reference code |
+ CEC2013 reference code | IOHexperimenter |
C++/Python |
|
- https://github.com/IOHprofiler/IOHexperimenter | https://github.com/P-N-Suganthan/CEC2013 |
- IOHprofiler experimenter framework | Suganthan's reference implementation |
+ https://github.com/P-N-Suganthan/CEC2013 | https://github.com/IOHprofiler/IOHexperimenter |
+ Suganthan's reference implementation | IOHprofiler experimenter framework |
|
|
|
@@ -1807,11 +1807,11 @@
|
>=1 |
|
- IOHexperimenter | CEC2022 reference code |
+ CEC2022 reference code | IOHexperimenter |
C++/Python |
|
- https://github.com/IOHprofiler/IOHexperimenter | https://github.com/P-N-Suganthan/2022-SO-BO |
- IOHprofiler experimenter framework | Suganthan's reference implementation |
+ https://github.com/P-N-Suganthan/2022-SO-BO | https://github.com/IOHprofiler/IOHexperimenter |
+ Suganthan's reference implementation | IOHprofiler experimenter framework |
|
|
|
@@ -1850,7 +1850,7 @@
|
CFD test problem suite |
|
- {'15m', '30s'} |
+ {'30s', '15m'} |
https://bitbucket.org/arahat/cfd-test-problem-suite |
Expensive real-world CFD-based test problems |
|
@@ -1865,7 +1865,7 @@
suite_cre |
CRE |
Suite |
- integer | continuous |
+ continuous | integer |
6-14 |
[2, 3, 4, 5] |
|
@@ -1906,7 +1906,7 @@
suite_cuter |
CUTEr |
Suite |
- binary | continuous | integer |
+ integer | binary | continuous |
>=3 |
1 |
|
@@ -1947,11 +1947,11 @@
suite_cutest |
CUTEst |
Suite |
- binary | continuous | integer |
+ integer | binary | continuous |
>=3 |
1 |
|
- unknown | box |
+ box | unknown |
>=2 |
|
|
@@ -2152,11 +2152,11 @@
suite_expobench |
EXPObench |
Suite |
- continuous | categorical | integer |
+ categorical | continuous | integer |
30-405 |
1 |
noisy |
- unknown | box |
+ box | unknown |
>=2 |
|
["observational", "real-life"] |
@@ -2178,7 +2178,7 @@
10-135 |
EXPObench |
Python |
- {'2 seconds', '80 seconds'} |
+ {'80 seconds', '2 seconds'} |
https://github.com/AlgTUDelft/ExpensiveOptimBenchmark |
EXPensive Optimization benchmark library (wind farm layout, gas filter design, pipe shape, hyperparameter tuning, hospital simulation) |
|
@@ -2299,11 +2299,11 @@
|
>=1 |
|
- IOHGNBG | GNBG-II |
+ GNBG-II | IOHGNBG |
|
|
- https://github.com/IOHprofiler/IOHGNBG | https://github.com/rohitsalgotra/GNBG-II |
- IOHprofiler version of GNBG | Generalized Numerical Benchmark Generator version 2 |
+ https://github.com/rohitsalgotra/GNBG-II | https://github.com/IOHprofiler/IOHGNBG |
+ Generalized Numerical Benchmark Generator version 2 | IOHprofiler version of GNBG |
|
|
|
@@ -3013,7 +3013,7 @@
suite_re |
RE |
Suite |
- integer | continuous |
+ continuous | integer |
4-14 |
[2, 3, 4, 5, 6, 7, 8, 9] |
|
@@ -3054,7 +3054,7 @@
suite_rwmvop |
RWMVOP |
Suite |
- categorical | continuous | integer |
+ integer | categorical | continuous |
>=3 |
1 |
|
@@ -3244,7 +3244,7 @@
|
TulipaEnergyModel.jl |
Julia / JuMP |
- {'minutes', 'hours'} |
+ {'hours', 'minutes'} |
https://tulipaenergy.github.io/TulipaEnergyModel.jl/stable/ | https://github.com/TulipaEnergy/Tulipa-OBZ-CaseStudy |
Large linear program for optimal investment and operation of energy systems |
|
diff --git a/problems.yaml b/problems.yaml
index 9ff660a..aa830b1 100644
--- a/problems.yaml
+++ b/problems.yaml
@@ -2,11 +2,13 @@ fn_ato:
allows_partial_evaluation: no
can_evaluate_objectives_independently: null
code_examples: null
- constraints: null
- description: 'Parameters of the Modules of the Automatic Train Operation are optimized;
- two objectives: minimizing energy consumption and minimizing driving duration.'
+ constraints:
+ - equality: null
+ hard: yes
+ number: null
+ type: box
+ description: 'Parameters of the modules of the Automatic Train Operation are optimized; Parameters for the trajectory planning (first module) are maximum velocity (v_max), weighting of objectives (energy, time, comfort) in planning (lambda_e, lambda_s, lambda_t), step width (ds), maximum lateral acceleration (aq_max); as control module a PID controller is implemented, where the ki and kp parameters are optimized. The objectives are minimizing travel time and energy consumption. The evaluation takes several minutes, because the pipeline includes also a simulation.'
dynamic_type: null
- evaluation_time: null
fidelity_levels: null
implementations: null
instances: null
@@ -17,7 +19,12 @@ fn_ato:
noise_type: null
objectives:
- 2
- references: null
+ references:
+ - authors: ["Carolin Mensendiek", "Henrik Zeipel", "Oliver Ludger Preuß", "Moritz Vinzent Seiler", "Walter Sextro", "Heike Trautmann"]
+ link:
+ type: null
+ url: https://doi.org/10.1145/3795101.3805368
+ - title: "Multi-Objective Pipeline Optimisation and Configuration of Automatic Train Operation Trajectories"
source:
- real-world
tags: null
@@ -1057,6 +1064,13 @@ gen_wmodel:
max: null
min: 1
type: binary
+impl_ato:
+ description: Non-public implementation
+ evaluation_time:
+ - "several minutes"
+ language: Python
+ name: Automatic Train Operation Pipeline
+ type: implementation
impl_beacon:
description: Continuous Bi-objective Benchmark with Explicit Adjustable
COrrelatioN control