Nurse Optimization Algorithm

This paper proposes a novel meta-heuristic algorithm for continuous optimization problems—the Nurse Optimization Algorithm (NOA), inspired by the professional behavior of nurses. The algorithm simulates the behavioral characteristics of nurses in multitasking environments, including task prioritization, experience sharing, emergency response, and teamwork. It incorporates four core mechanisms: a task prioritization mechanism, an experience sharing memory network, an emergency intervention mechanism, and a dynamic energy regulation mechanism. The algorithm utilizes a multi-level search strategy, adaptive energy management, and memory guidance to efficiently solve complex optimization problems. The paper establishes a detailed mathematical model for the algorithm, defines all parameters and variables, and provides a complete algorithm flow and pseudocode. This algorithm theoretically offers a novel swarm intelligence optimization strategy with originality and potential for widespread application.