* crossref.bib (LION2019): New.

 * biblio.bib (MATILDA,DanDec2019analysis): New.

biblio.bib

@@ -3066,6 +3066,32 @@ @InCollection{DanDec2016neighborhood
   pages =        {234--239},
 }
 
+@InCollection{DanDec2019analysis,
+  author       = Dang_Nguyen #and# DeCausmaecker,
+  title        = {Analysis of Algorithm Components and Parameters: Some Case
+                  Studies},
+  pages        = {288--303},
+  abstract     = {Modern high-performing algorithms are usually highly
+                  parameterised, and can be configured either manually or by an
+                  automatic algorithm configurator. The algorithm performance
+                  dataset obtained after the configuration step can be used to
+                  gain insights into how different algorithm parameters
+                  influence algorithm performance. This can be done by a number
+                  of analysis methods that exploit the idea of learning
+                  prediction models from an algorithm performance dataset and
+                  then using them for the data analysis on the importance of
+                  variables. In this paper, we demonstrate the complementary
+                  usage of three methods along this line, namely forward
+                  selection, fANOVA and ablation analysis with surrogates on
+                  three case studies, each of which represents some special
+                  situations that the analyses can fall into. By these
+                  examples, we illustrate how to interpret analysis results and
+                  discuss the advantage of combining different analysis
+                  methods.},
+  doi          = {10.1007/978-3-030-05348-2_25},
+  crossref     = {LION2019}
+}
+
 @InCollection{DanDoe2019gecco,
   author =       Dang_Nguyen #and# Doerr_C,
   title =        "Hyper-parameter tuning for the ({1 + (\(\lambda\), \(\lambda\))}) {GA}",
@@ -8408,6 +8434,14 @@ @PhDThesis{Lygoe2010phd
   school =       {University of Sheffield Sheffield, UK}
 }
 
+@Misc{MATILDA,
+  author       = Smith-Miles_K #and# Munoz_MA #and# {Neelofar},
+  title        = {Melbourne Algorithm Test Instance Library with Data Analytics
+                  ({MATILDA})},
+  year         = 2020,
+  url          = {https://matilda.unimelb.edu.au/}
+}
+
 @InProceedings{Mackle95,
   author =       Mackle # and # Savic # and # Walters,
   title =        {Application of Genetic Algorithms to Pump Scheduling for

crossref.bib

@@ -3475,13 +3475,27 @@ @Book{LION2018
   booktitle =    "Learning and Intelligent Optimization, 12th International
                   Conference, LION 12",
   year =         2018,
-  editor =       Battiti #and# {Mauro Brunato} #and# {Ilias Kotsireas} #and# {Panos M. Pardalos},
+  editor =       Battiti #and# {Mauro Brunato} #and# {Ilias Kotsireas} #and# Pardalos,
   volume =       11353,
   series =       lncs,
   publisher =    springer,
   address =      add-cham,
 }
 
+@Book{LION2019,
+  booktitle    = {Learning and Intelligent Optimization, 13th International
+                  Conference, LION 13},
+  editor       = {Nikolaos F. Matsatsinis} #and# {Yannis Marinakis} #and#
+                  Pardalos,
+  title        = {13th International Conference, LION 13, Chania, Crete,
+                  Greece, May 27-31, 2019, Revised Selected Papers},
+  year         = 2019,
+  publisher    = springer,
+  volume       = 11968,
+  series       = lncs,
+  address      = add-cham
+}
+
 @Proceedings{LMCA2020,
   title =        {Learning Meets Combinatorial Algorithms Workshop at NeurIPS 2020,
                   {LMCA} 2020, Vancouver, Canada, December 12, 2020},