Alireza Sahebgharani, MULTI-OBJECTIVE LAND USE OPTIMIZATION THROUGH PARALLEL PARTICLE SWARM ALGORITHM, Journal of Urban and Environmental Engineering, Vol. 10, No. 1 (January to June 2016), pp. 42-49 ...

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 ...

Particle swarm optimization (PSO) is a technique for finding approximate solutions to difficult or impossible numeric optimization problems. In particular, PSO can be used to train a neural network.

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 ...

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 ...

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