The proposed work introducing new coefficients and some modern control parameters such as sensitivity (s(t)) and probability of nectar (p(t)) and modification of the conventional parameter (Φ). With presenting these parameters the performance and searching ability of the BF-PSO is significantly increased compared to standered PSO. This new algorithm is inspired by the intelligent behavior of bu...

Abstract Aiming at the premature convergence problem of particle swarm optimization (PSO) due to loss population diversity in late stage search, this paper improves traditional PSO and proposes elite mean deviation induction strategy, which speed accuracy PSO. The experimental results show that improved are improved. effectiveness algorithm is proved.

The particle swarm optimizer (PSO) is a stochastic, populationbased optimization technique that can be applied to a wide range of applications. This paper presents a random time variable PSO algorithm, called the PSO-RTVIWAC, introducing random timevarying inertia weight and acceleration coefficients to significantly improve the performance of the original algorithms. The PSO-RTVIWAC method ori...

Pomegranate seed oil (PSO), which is the major source of conjugated linolenic acids such as punicic acid (PuA), exhibits strong anti-inflammatory properties. Necrotizing enterocolitis (NEC) is a devastating disease associated with severe and excessive intestinal inflammation. The aim of this study was to evaluate the effects of orally administered PSO on the development of NEC, intestinal epith...