particleswarmoptimizationpdf

The particle swarm optimization (PSO) is a natural-inspire optimization algorithm mimicking the movement behavior of animal flocks for food searching. Although ...

由 PK Tripathi 著作 · 被引用 72 次 — In the present article we describe a multi- objective PSO, called adaptive multi-objective particle swarm optimization (AMOPSO). In AMOPSO the vital parameters.

Suppose a group of birds is searching food in an area. Only one piece of food is available. Birds do not have any knowledge about the location of the food.

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 ...

由 J Kennedy 著作 · 被引用 85041 次 — This paper describes the particle swarm optimization concept in terms of its precursors, briefly reviewing the stages of its development from social simulation ...

由 D Wang 著作 · 2017 · 被引用 1743 次 — Particle swarm optimization (PSO) algorithm is a stochastic optimization technique based on swarm, which was proposed by Eberhart and Kennedy (1995) and Kennedy ...

This piece of research presents the Particle Swarm Optimization (PSO) as a biologically inspired computational paradigm searches for problem optimization ...

The rights of Maurice Clerc to be identified as the authors of this work has been asserted by them in accordance with the Copyright, Designs and Patents Act ...