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 ...

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 ...

Multi-Objective Particle Swarm Optimization (MOPSO) and the Multi-Objective Covariance Matrix Adaptation Evolution Strategy (MO-CMA-ES) apply swarm intelligence and probabilistic modeling, ...

It also stressed that the algorithm has a tracking efficiency of 97.54%, which compares to 95.56% for the grasshopper optimization algorithm (GOA), 94.27% for particle swarm optimization (PSO), 91 ...

Tan Liu, Qinyun Yuan, Lina Wang, Yonggang Wang, Nannan Zhang, Multi-objective optimization for oil-gas production process based on compensation model of comprehensive energy consumption using improved ...