Acknowledge BBOB suite

README.md

@@ -9,10 +9,11 @@ This is the __benchmarking platform__ for <b>I</b>terative <b>O</b>ptimization <
 
 <b>IOHexperimenter</b> <i>provides</i>:
 
-* A framework for straightforward benchmarking of any iterative optimization heuristic
-* A suite consisting of 23 pre-made Pseudo-Boolean benchmarking function, with easily accessible methods for adding custom functions and suites 
-* Logging methods to effortlesly store benchmarking data in a format compatible with __IOHanalyzer__, with future support for additional data logging options
-* (__Soon to come__:) A framework which significantly simplifies algorithm design
+* A framework for straightforward benchmarking of any iterative optimization heuristic.
+* A Pseudo-Boolean Optimization (PBO) benchmark suite, containing 23 test problems.
+* The integration of 24 Black-Box Optimization Benchmarking (BBOB) functions on the continuous domain. We directly take the C implementation of BBOB test functions from [https://github.com/numbbo/coco](https://github.com/numbbo/coco), with some modifications to accommodate our framework.
+* Logging methods to effortlesly store benchmarking data in a format compatible with __IOHanalyzer__, with future support for additional data logging options.
+* (__Soon to come__:) A framework which significantly simplifies algorithm design.
 
 <b>IOHexperimenter</b> is <i>built on</i>: