Your experiments want to demonstrate something;
the idea structure is to have questions.
Then, you plan one experiment to answer each question.
In the result part, you interpret the results of each experiment as answering the question.
This way, the reviewer will have a very clear and neat idea of where you are going and why.
Minimize the cognitive efforts, which is always an excellent idea.
You must tune the hyper-parameter of the competitor algorithm in a fair way.
Note that a new experiment should have a goal: you want to show this or that.
Note that you must not phrase it as: I want to do this experiment to show that my algo is better than XX.
When you do an experiment, you have of course a preference about the results; BUT YOU MUST APPEAR TO BE FAIR. NOT FAVORING YOUR ALGORITHM.
- Google the literature
- Make a list of problems which are relevant to your goal
- See who has worked on each of those problems
- Rank them according to what these problem allow to show (not judicious to select very similar problems)