مشاهده مشخصات مقاله
Particle Swarm Optimization with Voronoi Neighborhood
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نویسنده (ها) |
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Ehsan Safavieh
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Amin Gheibi
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Mohammadreza Abolghasemi
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Ali Mohades
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مربوط به کنفرانس |
چهاردهمین کنفرانس بینالمللی سالانه انجمن کامپیوتر ایران |
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چکیده |
Particle Swarm Optimization (PSO) is an
optimization method that is inspired by nature and is
used frequently nowadays. In this paper we proposed a
new dynamic geometric neighborhood based on
Voronoi diagram in PSO. Voronoi diagram is a
geometric naturalistic method to determine neighbors
in a set of particles. It seems that in realistic swarm,
particles take Voronoi neighbors into account.
Also a comparison is made between the
performance of some traditional methods for choosing
neighbors and new dynamic geometric methods like
Voronoi and dynamic Euclidean. In this comparison it
is found that PSO with geometric neighborhood can
achieve better accuracy overall especially when the
optimum value is out of the initial range. |
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قیمت |
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برای اعضای سایت : ۱٠٠,٠٠٠ ریال
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برای دانشجویان عضو انجمن : ۲٠,٠٠٠ ریال
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برای اعضای عادی انجمن : ۴٠,٠٠٠ ریال
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خرید مقاله
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