Summary on improved inertia weight strategies for particle swarm optimization algorithm
YANG Bowen
QIAN Weiyi
Abstract：Among the three parameters of particle swarm optimization algorithm , inertia weight is the most important parameter , which plays an important role in improving the performance of particle swarm optimization algorithm.Therefore, many scholars have studied the design of inertia weight in particle swarm optimization ex－tensively, and many achievements have been made.This paper introduces the basic particle swarm optimization and standard particle swarm optimization algorithm , and summarizes the various improvement strategies of inertia weight in particle swarm optimization algorithm.It provides a reference for further improvement of particle swarm optimization algorithm.
Keywords：particle swarm optimization algorithminertia weightglobal search abilitylocal search ability
Publication Date：2019-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：15( 274-288 )