Particle Swarm Optimization | 私立大學五星教授網

The particle swarm optimization (PSO) algorithm is a population-based search al- gorithm based on the simulation of the social behavior of birds within a ...

Particle Swarm Optimization is an algorithm capable of optimizing a non-linear and multidimensional problem which usually reaches good solutions efficiently

由 D Wang 著作 · 2017 · 被引用 2279 次 — Particle swarm optimization (PSO) algorithm is a stochastic optimization technique based on swarm, which was proposed by Eberhart and Kennedy (1995) and Kennedy ...

Particle Swarm Algorithm. Inspired by social behavior of bird flocking ... optimization technique inspired by social behaviour of bird flocking or fish.

由 J Kennedy 著作 · 被引用 88938 次 — This paper describes the particle swarm optimization concept in terms of its precursors, briefly reviewing the stages of its development from social simulation ...

A review of particle swarm optimization. Part II: hybridisation, combinatorial, multicriteria and constrained optimization, and indicative applications.

New Optimization Techniques in Engineering, Springer, Heidelberg, p. 517-536, 2004. [ONW 04b] ONWUBOLU G.C., SHARMA A., “Particle Swarm Optimization for the.

This paper serves to provide a thorough survey of the PSO algorithm with special emphasis on the development, deployment, and improvements of its most basic ...