In the original form of bidirectional evolutionary structural optimization, the structure topology is changed only one in each iteration of volume. The evolutionary process gradually reaches a target volume and stabilizes at this point until a stopping criterion is met. Due to some possible topologies with the same volume, the paper proposes the use of a similar stop parameter for each iteration of volume. This means some topology updates are carried out with the same volume before moving to the next iteration of volume. The simple approach, combined with a self-updating evolutionary rate, improves results of benchmark problems in the literature.
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