What is the best/ next step if you suspect the evolutionary algorithm recombines and mutates in an inferior way, for your nonvonvex nonlinear optimization problem?
Write your own heuristic?
How do you implement it?
Hi, instead of modifying the mutation rule it would be better in a first step to generate a larger initial population. Indeed, the new mutation rule will be adapted to a particular problem only.
Reformulate the requirements based on the data on the issue, using the concept of software engineering
there are also certain characteristics in my problem that i want to exploit
When I use an evolutionary algorithm with several ending criteria (e.g., number of generations, proximity to the best solutions), I normally, accept bad individuals in order to go ahead any minimum local situation. The exploration demands multiverse values and a very good random initial population.
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