Introduce a New Inertia Weight for Particle Swarm Optimization

PSO has a few parameters to adjust such as inertia weight, velocity and constant factors. Among these parameters, inertia weight is very important and has a great potential to develop. During the last decade, various methods like fuzzy, constant, linear methods were proposed to adjust an inertia wei...

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Bibliographic Details
Main Authors: Ememipour, J., Nejad, M.M.S., Ebadzadeh, M.M., Rezanejad, J.
Format: Conference Proceeding
Language:English
Subjects:
Benchmark testing
Birds
Educational institutions
Genetic mutations
inertia weight
Information technology
Java
Marine animals
optimization
Particle swarm optimization
Random number generation
Online Access:Request full text
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Summary:PSO has a few parameters to adjust such as inertia weight, velocity and constant factors. Among these parameters, inertia weight is very important and has a great potential to develop. During the last decade, various methods like fuzzy, constant, linear methods were proposed to adjust an inertia weight. This paper proposes a new strategy to calculate inertia weight based on decreasing exponential method. Our method merely uses an iteration to make an inertia weight and it is fast and has highly accurate results rather than other strategies. Our results are tested on well-known benchmarks. Numerical results demonstrated our claim.
DOI:10.1109/ICCIT.2009.297