A MODIFIED PARTICLE SWARM OPTIMIZATION WITH RANDOM ACTIVATION FOR INCREASING EXPLORATION

A MODIFIED PARTICLE SWARM OPTIMIZATION WITH RANDOM ACTIVATION FOR INCREASING EXPLORATION

Particle Swarm Optimization (PSO) is a popular optimization technique which is inspired by the social behavior of birds flocking or fishes schooling for finding food. It is a new metaheuristic search algorithm developed by Eberhart and Kennedy in 1995. However, the standard PSO has a shortcoming...

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Bibliographic Details
Main Authors: Alrijadjis Alrijadjis, Shenglin Mu, Kanya Tanaka, Shota Nakashima
Format: Article
Language:English
Published: Informatics Department, Engineering Faculty 2015-07-01
Series:Jurnal Ilmiah Kursor: Menuju Solusi Teknologi Informasi
Subjects:
Particle Swarm Optimization
inertia weight
premature convergence
local optimum
random activation
Online Access:https://kursorjournal.org/index.php/kursor/article/view/72

Internet

https://kursorjournal.org/index.php/kursor/article/view/72

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