Coral Reefs Optimization (CRO) algorithm artificially simulates a coral reef, where different corals (which are the solutions for the considered optimization problem) grow and reproduce in a coral-reef, fighting with other corals for space
See what happens when minimizing the example I.2 (max-problem in a discrete interval):
The best solution should be an array of twos, but we get this.
To do/check:
When extracting mean and best fitness, it should be done from the occupied corals (I quickly checked this and doing it gets rid of the noisy mean fitness signal, see image).
Maybe when creating larvae broadcastspawning or brodding, empty larvae are created. Also quickly checked but didn't find anything.
See what happens when minimizing the example I.2 (max-problem in a discrete interval): The best solution should be an array of twos, but we get this.
To do/check:
broadcastspawning
orbrodding
, empty larvae are created. Also quickly checked but didn't find anything.