Multi-objective dung beetle optimization algorithm: A novel algorithm for solving complex multi-objective optimization problems.

ABSTRACT: Many increasingly complex multi-objective optimization problems are emerging, and there is an urgent need to develop new multi-objective optimization algorithms to meet the challenges. This study introduces the Multi-Objective Dung Beetle Optimization Algorithm (MODBO), which integrates competitive and neighborhood mechanisms to tackle such problems, Thanks to the dung beetle optimization algorithm's fast convergence and robust optimization finding ability in single-objective optimization algorithms. The introduction of non-dominated sorting allows the Dung Beetle Optimization Algorithm to solve multi-objective optimization problems (MOPs). To make the Dung Beetle Optimization Algorithm maintain good search ability in searching, we introduce a Competition mechanism to guide the particles'

SUBMITTER: Wu W 

PROVIDER: S-EPMC12520404 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature