added latest data archive submission also to webpage,

added list of algorithms for each year on performance comparison pages for bbob (update) and bbob-biobj (new)

_quarto.yml

@@ -82,10 +82,10 @@ website:
             href: testsuites/bbob-biobj/def.qmd
           - text: Gradient Angle Plots
             href: testsuites/bbob-biobj/ecdfs.qmd
+          - text: Performance Comparison
+            href: testsuites/bbob-biobj/performancecomparisons.qmd
           - text: Data Archive
             href: testsuites/bbob-biobj/data-archive.qmd
-          - text: Postprocessed Data
-            href: testsuites/bbob-biobj/ppdata.qmd
       - section: bbob-biobj-mixint
       - section: bbob-boxed
         contents:

assets/data/data-archive.json

@@ -2575,6 +2575,14 @@
     "dataset": "https://raw.githubusercontent.com/numbbo/data-archive/gh-pages/data-archive/bbob-largescale/2022/MTSLS1-9_Tanabe.tgz",
     "comment": "Multiple Trajectory Search with local search LS1 and parameter c set to 0.9: [BBOB-2022 paper](https://arxiv.org/pdf/2204.13284)"
   },
+  {
+    "suite": "bbob-largescale",
+    "algorithm": "RANDOMSEARCH",
+    "year": 2024,
+    "author": "Brockhoff",
+    "dataset": "https://raw.githubusercontent.com/numbbo/data-archive/gh-pages/data-archive/bbob-largescale/2024/RANDOMSEARCH_Brockhoff.zip",
+    "comment": "Simple random sampling, uniformly distributed in $[-5,5]^n$"
+  },
   {
     "suite": "bbob-constrained",
     "algorithm": "RandomSearch-5",

testsuites/bbob-biobj/performancecomparisons.qmd

@@ -0,0 +1,46 @@
+---
+title: Performance Visualizations for the `bbob-biobj` test suite 
+---
+
+Below, we provide postprocessed data showing the performance of all [30+ officially supported algorithm data sets](../../../../data-archive/bbob-biobj.html) for the `bbob-biobj` test suite.
+
+Due to the large amount of algorithms (and the limited space in the figures), we currently group algorithm data sets by year of publication.
+
+
+## Performance Comparisons per Year
+
+```{python}
+#| echo: false
+#| output: asis
+
+import re
+import sys
+sys.path.insert(1, '../../scripts/')
+from IPython.display import Markdown
+
+import cocopp
+
+for year in range(2016, 2030):
+	dd = cocopp.bbob_biobj.find(str(year))
+	if len(dd) > 1:
+		dda = [(re.search('/(.*)', d.partition('_')[0]).group(1)) for d in dd]
+		display(Markdown("\n- [{0}](https://numbbo.github.io/ppdata-archive/bbob-biobj/{0}/index.html):".format(year)))
+		display(Markdown("{0}".format(', '.join(dda))))
+
+```
+
+
+
+## Example code to produce the figures
+
+The Python code to locally generate the second entry, 2019,
+above (other entries work respectively) reads
+
+```python
+import cocopp               # see https://pypi.org/project/cocopp
+cocopp.genericsettings.background = {None: cocopp.archives.bbob_biobj.get_all('2016')}
+cocopp.main('bbob-biobj/2019/*')  # will take several minutes to process
+
+```
+
+

testsuites/bbob/performancecomparisons.qmd

@@ -9,21 +9,25 @@ Due to the large amount of algorithms (and the limited space in the figures), we
 
 ## Performance Comparisons per Year
 
+```{python}
+#| echo: false
+#| output: asis
 
-- [2009](https://numbbo.github.io/ppdata-archive/bbob/2009/index.html)
-- [2010](https://numbbo.github.io/ppdata-archive/bbob/2010/index.html)
-- [2012](https://numbbo.github.io/ppdata-archive/bbob/2012/index.html)
-- [2013](https://numbbo.github.io/ppdata-archive/bbob/2013/index.html)
-- [2014](https://numbbo.github.io/ppdata-archive/bbob/2014/index.html)
-- [2015](https://numbbo.github.io/ppdata-archive/bbob/2015/index.html)
-- [2016](https://numbbo.github.io/ppdata-archive/bbob/2016/index.html)
-- [2017](https://numbbo.github.io/ppdata-archive/bbob/2017/index.html)
-- [2018](https://numbbo.github.io/ppdata-archive/bbob/2018/index.html)
-- [2019](https://numbbo.github.io/ppdata-archive/bbob/2019/index.html)
-- [2020](https://numbbo.github.io/ppdata-archive/bbob/2020/index.html)
-- [2021](https://numbbo.github.io/ppdata-archive/bbob/2021/index.html)
-- [2022](https://numbbo.github.io/ppdata-archive/bbob/2022/index.html)
-- [2023](https://numbbo.github.io/ppdata-archive/bbob/2023/index.html)
+import re
+import sys
+sys.path.insert(1, '../../scripts/')
+from IPython.display import Markdown
+
+import cocopp
+
+for year in range(2009, 2030):
+	dd = cocopp.bbob.find(str(year))
+	if len(dd) > 1:
+		dda = [(re.search('/(.*)', d.partition('_')[0]).group(1)) for d in dd]
+		display(Markdown("\n- [{0}](https://numbbo.github.io/ppdata-archive/bbob/{0}/index.html):".format(year)))
+		display(Markdown("{0}".format(', '.join(dda))))
+
+```
 
 
 
@@ -35,7 +39,7 @@ above (other entries work respectively) reads
 ```python
 import cocopp               # see https://pypi.org/project/cocopp
 cocopp.genericsettings.background = {None: cocopp.archives.bbob.get_all('2009')}
-cocopp.main('bbob/2009/*')  # will take several minutes to process
+cocopp.main('bbob/2010/*')  # will take several minutes to process
 
 ```