? AI can make mistakes, so double-check responses Copy Creating a public link... You can now share this thread with others Good response Bad response 5 sites Prediction error of XPSO and other optimization algorithms. Aiming at the problem of the low accuracy of temperature prediction, a mathematical model for predicting the temperature of a stee... ResearchGate The type IV pre‐pilin leader peptidase of Xanthomonas ... A protein with an apparent molecular mass of approximately 32.5 kDa was synthesized in vitro from a DNA fragment containing the xp... Wiley Online Library Comparison of performances on f1 by XPSO and other PSO ... Steels are widely used as structural materials, making them essential for supporting our lives and industries. However, further im... ResearchGate An Expanded Particle Swarm Optimization Based on Multi-Exemplar ... Xia et al. [83] created a hybrid model called eXpanded PSO (XPSO) [83] using three operators. In [84], it is stated that faster co... ResearchGate Container Condition (2.9.1 - 1.0.1) - JSON Representation - HL7 v2 ... Mar 13, 2026 —
In standard PSO, parameters like inertia weight ($w$) and acceleration coefficients ($c_1, c_2$) are often static or linearly decreasing. XPSO often utilizes where these parameters change dynamically based on the swarm's convergence state. For example, if the swarm is stagnating, the inertia weight might increase to encourage exploration. Aiming at the problem of the low accuracy