Particle swarm optimization is a meta-heuristic rather than a specific algorithm, meaning there are many possible implementations. The movement of a particle is controlled by the particle's velocity ...

This journal is intended to serve as a forum to exchange ideas and results for the advancement of software engineering and knowledge engineering.

Mengmeng Cao, Song Qing, Yuchunzi Du, Ruiqiang Yuan, Buri Shun, Yanling Hao, Wenjing Zhao, Remote Sensing Classification of Aquatic Vegetation in Ulansuhai Lake Based on Discrete Particle Swarm ...

Scientists simulated several liquid air energy storage systems, comparing round-trip efficiency across configurations that include liquefied natural gas (LNG), solar, and Stirling engines, and further ...

Examples include bio-inspired optimization techniques such as genetic algorithms and particle swarm optimization and geometry-inspired techniques such as Nelder-Mead and spiral dynamics. This article ...

A global scientific team has designed a novel multigeneration system based on renewable energy and liquid air energy storage, then used soft computing techniques to optimize its operation. The ...