As of my last knowledge update in January 2022, there isn’t a widely recognized concept or algorithm known as “Secure Multi-verse Optimization” (SMO) in the field of computer science or optimization. However, the term may have gained relevance or been introduced after that date. Optimization typically involves finding the best solution among a set of possible solutions to a given problem. If there are security considerations in the optimization process, it may involve ensuring that the chosen solution is robust against potential threats or vulnerabilities. To provide more accurate information, I would recommend checking the latest literature, academic publications, or reliable online sources for any developments related to ‘‘Secure Multi-verse Optimization’’ that may have occurred after January 2022. If you have additional details or context about SMO or CSMO, please provide them so that I can offer more specific insights.1