A rank-based constraint handling technique for engineering design optimization problems solved by genetic algorithms

摘要

This work presents a constraint handling technique (CHT) for the solution of real-world engineering optimization problems by evolutionary algorithms. Referred to as the Multiple Constraint Ranking (MCR), it extends the rank-based approach from many CHTs, by building multiple separate queues based on the values of the objective function and the violation of each constraint. This way, it overcomes difficulties found by other techniques when faced with complex problems characterized by several constraints with different orders of magnitude and/or different units.