We have adapted the use of exponentially averaged momentum in PSO to multi-objective optimization problems. The algorithm was built on top of SMPSO, a state-of-the-art MOO solver, and we present a novel mathematical analysis of constriction fairness. We extend this analysis to the use of momentum and propose rich alternatives of parameter sets which are theoretically sound. We call our proposed algorithm "Fairly Constricted PSO with Exponentially-Averaged Momentum", FCPSO-em.

中文翻译：

---

FCPSO-em：利用动量和收缩公平性进行多目标优化

我们已经将PSO中指数平均动量的使用调整为多目标优化问题。该算法建立在SMPSO（最先进的MOO求解器）的基础上，我们提供了收缩公平性的新颖数学分析。我们将此分析扩展到动量的使用，并提出理论上合理的参数集的丰富替代方案。我们将我们提出的算法称为“具有指数平均动量的公平约束PSO”，FCPSO-em。