Modified Particle Swarm Optimization with Chaos-Based Particle Initialization and Logarithmic Decreasing Inertia Weight

Modified Particle Swarm Optimization with Chaos-Based Particle Initialization and Logarithmic Decreasing Inertia Weight

The global optimization problem can be solved using one of the algorithms, namely particle swarm optimization (PSO). The PSO algorithm is a population optimization based on swarm intelligence, which has been widely studied and is widely applied to various problems. However, PSO is often trapped in l...

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Bibliographic Details
Main Authors: Murinto, Murinto, Harjoko, Agus, Hartati, Sri, Danoedoro, Projo
Format: Article PeerReviewed
Language:English
Published: ICIC International 2022
Subjects:
Information Systems not elsewhere classified
Information System
Online Access:https://repository.ugm.ac.id/282147/1/Murinto%20et%20al%20-%202022%20-%20MODIFIED%20PARTICLE%20SWARM%20OPTIMIZATION.pdf
https://repository.ugm.ac.id/282147/
http://www.icicel.org/ell/contents/2022/2/el-16-02-11.pdf
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Institution: Universitas Gadjah Mada
Language: English

Internet

https://repository.ugm.ac.id/282147/1/Murinto%20et%20al%20-%202022%20-%20MODIFIED%20PARTICLE%20SWARM%20OPTIMIZATION.pdf
https://repository.ugm.ac.id/282147/
http://www.icicel.org/ell/contents/2022/2/el-16-02-11.pdf

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