A hybrid metaheuristic algorithm for antimicrobial peptide toxicity prediction.

ABSTRACT: The development of new algorithms can aid researchers and professionals in resolving problems that were once unsolvable or discovering superior solutions to problems that were already settled. By recognizing the importance of continuous research on creating novel algorithms, this paper introduced a hybrid metaheuristic algorithm-h-PSOGNDO, which is a combination of Particle Swarm Optimization (PSO) and Generalized Normal Distribution Optimization (GNDO). The proposed algorithm utilizes the Particle Swarm Optimization's strategy for exploitation and the Generalized Normal Distribution Optimization's global search strategy for exploration. Through this combination, h-PSOGNDO is believed to be an effective algorithm that can promote the advantages of its parents' algorithms. Different assessm

SUBMITTER: Dao SVT 

PROVIDER: S-EPMC11569246 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature