if you want to compare your algorithm on some continuous test functions, I suggest the benchmark suite introduced at the CEC 2005 competition on numerical optimization. The suite includes 25 well-chosen test functions. The source code of them in several programming languages is provided at http://www3.ntu.edu.sg/home/EPNSugan/index_files/CEC-05/CEC05.htm (look for the right link).
The specification of the suite includes everything that is relevant: Complete definition of the functions including the initialization of your EA, the search interval, dimensionality, termination criteria (this answers your previous post), even the statistical output and its formatting. If you stick to these guidelines you can compare your method easily to many other algorithms.
Here is a link with the specification: http://www.bionik.tu-berlin.de/user/niko/Tech-Report-May-30-05.pdf
There are also a couple of more competitions recently. Have look at e.g. http://www3.ntu.edu.sg/home/EPNSugan/ to find some more.
I am looking for a test suite of functions that I can use to evaluate
an evolutionary algorithm I have implemented.
I am interested in functions that have their input ranges (search space)
well defined along with their maxima/minima.
I keep coming across functions in various articles and books, but many
often lack this information assuming it's obvious, or just well known. Some
will only state the maximum or the minimum, others leave the search space
If there is list of functions with this information available, it would be
Additional recommendations as to what would make a good set of 5 - 10
functions to include in a test suite would be greatly appreciated.