This paper presents a simplified Cultural based Multi-Objective Particle Swarm Optimization (MOPSO) algorithm. In this algorithm we modify momentum and global acceleration components of the conventional MOPSO algorithm. The algorithm has been tested on common benchmark functions. Its performance has been compared with other algorithms, using standard test metrics. The results show that the cultural based MOPSO is more efficient and robust.
Francis, Anupam; Mohan Kumar, N.; and Devi, M. Nirmala
"Implementation of a Simplified Cultural-Based Multi-Objective Particle Swarm Optimization,"
International Journal of Electronics Signals and Systems: Vol. 3
, Article 5.
Available at: https://www.interscience.in/ijess/vol3/iss2/5