Constraint Conditions about meta-heuristics HOT 1 OPEN

First and foremost, I appreciate your valuable comment @optimizationf

Allow me to provide an overview of approaches for handling constraints, and you can easily find more comprehensive information on this topic through a simple Internet search. There are several methods available for dealing with constraints, which I will outline below:

1. Constraint-Remove: Ensuring that the condition imposed by the constraint is satisfied.
2. Solution-Repair: Making necessary modifications or repairs to the answer based on the constraint.
3. Penalty-Function: Employing a penalty function that assigns penalties based on violations of the constraints criteria. This function can be additive or multiplicative, depending on the nature of your problem.
4. Multi-objective optimization: Optimizing multiple objectives simultaneously, considering both the main objective and the constraint-related objectives.
5. Multilayer or co-evolutionary optimization: Utilizing advanced optimization techniques that involve multiple layers or co-evolutionary algorithms to address constraint-related challenges.

For each of the mentioned approaches, I have projects available on my Github page. In the event that there isn't a project covering a specific case mentioned above, I plan to add it to my personal page in the near future.

I hope this explanation suffices for your needs.

from meta-heuristics.