September 5, 2025Open Access

Human Personality-Based Particle Swarm Optimization: A Trait-Driven Framework for High-Dimensional Heterogeneous Problems

View Full Paper

Ask AI

Bookmark

Authors

Discussion

Novel approach enhances particle behavior using human-like traits in optimization, indicating better performance in diverse scenarios.

HPPSO consistently outperforms standard optimization methods, especially in high-dimensional problems.
Extensive experiments across 20 benchmark functions showed HPPSO achieved superior results in various dimensions.
The algorithm retains the same complexity as traditional PSO but effectively prevents stagnation during optimization.
By integrating psychological diversity, HPPSO opens avenues for combining cognitive science with computational techniques.

Sakka et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark