Tissue-like P systems with comparative evaluation/communication rules to solve the nurse rostering problem at the medical center

A difficult optimization problem called the nurse rostering problem is solved by choosing groups of nurses and allocating sets of shifts to them. As a result, creating schedules for healthcare workers is typically a challenging issue. The "Tissue like P System TLPS" is a new technique that is proposed in the current study. For resolving the nurse rostering issue at the National University of Malaysia Medical Center, also known as University Kebangsaan Malaysia in Malaysian. It is a genuine problem that has historically been dealt with manually and is tough to fix. The key issue is distributing responsibilities to a group of nurses while keeping in mind the laws and guidelines. We showed that the suggested algorithm had a considerable impact. Additionally, a comparison of the proposed algorithm’s performance using traditional approaches on the same dataset revealed that the proposed approach was noticeably more efficient.