Novel 'cuckoo search algorithm' beats particle swarm optimization in engineering design Date: May 28, 2010 Source: Inderscience Summary: The familiar early summer call of the cuckoo has inspired ...

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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 ...

The performance of the proposed particle swarm optimization algorithm is tested by random experiments. The experimental results show that the average deviation between the proposed PSO and the optimal ...

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 ...

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 ...

Particle Swarm Optimization: Drones modify movements based on their own and neighboring experiences. Ant Colony Optimization: Adapts inspiration from ants' path-finding methods.