New particle swarm optimizer with sigmoid increasing inertia weight
The inertia weight of particle swarm optimization (PSO) is a mechanism to control the exploration and exploitation abilities of the swarm and as mechanism to eliminate the need for velocity clamping. The present paper proposes a new PSO optimizer with sigmoid increasing inertia weight. Four standard...
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| المؤلفون الرئيسيون: | , , , |
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| التنسيق: | مقال |
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2007
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| الوصول للمادة أونلاين: | http://eprints.utm.my/id/eprint/17094/ http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.228.420&rep=rep1&type=pdf |
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my.utm.170942017-10-23T13:15:26Z http://eprints.utm.my/id/eprint/17094/ New particle swarm optimizer with sigmoid increasing inertia weight Malik , Reza Firsandaya Abdul Rahman, Tharek Mohd. Hashim, Siti Zaiton Ngah, Razali TK Electrical engineering. Electronics Nuclear engineering The inertia weight of particle swarm optimization (PSO) is a mechanism to control the exploration and exploitation abilities of the swarm and as mechanism to eliminate the need for velocity clamping. The present paper proposes a new PSO optimizer with sigmoid increasing inertia weight. Four standard non-linear benchmark functions are used to confirm its validity. The comparison has been simulated with sigmoid decreasing and linearly increasing inertia weight. From experiments, it shows that PSO with increasing inertia weight gives better performance with quick convergence capability and aggressive movement narrowing towards the solution region. 2007 Article PeerReviewed Malik , Reza Firsandaya and Abdul Rahman, Tharek and Mohd. Hashim, Siti Zaiton and Ngah, Razali (2007) New particle swarm optimizer with sigmoid increasing inertia weight. International Journal of Computer Science and Security , 1 (6). pp. 35-44. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.228.420&rep=rep1&type=pdf |
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Universiti Teknologi Malaysia |
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UTM Library |
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Institutional Repository |
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Asia |
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Malaysia |
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Universiti Teknologi Malaysia |
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UTM Institutional Repository |
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http://eprints.utm.my/ |
| topic |
TK Electrical engineering. Electronics Nuclear engineering |
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TK Electrical engineering. Electronics Nuclear engineering Malik , Reza Firsandaya Abdul Rahman, Tharek Mohd. Hashim, Siti Zaiton Ngah, Razali New particle swarm optimizer with sigmoid increasing inertia weight |
| description |
The inertia weight of particle swarm optimization (PSO) is a mechanism to control the exploration and exploitation abilities of the swarm and as mechanism to eliminate the need for velocity clamping. The present paper proposes a new PSO optimizer with sigmoid increasing inertia weight. Four standard non-linear benchmark functions are used to confirm its validity. The comparison has been simulated with sigmoid decreasing and linearly increasing inertia weight. From experiments, it shows that PSO with increasing inertia weight gives better performance with quick convergence capability and aggressive movement narrowing towards the solution region. |
| format |
Article |
| author |
Malik , Reza Firsandaya Abdul Rahman, Tharek Mohd. Hashim, Siti Zaiton Ngah, Razali |
| author_facet |
Malik , Reza Firsandaya Abdul Rahman, Tharek Mohd. Hashim, Siti Zaiton Ngah, Razali |
| author_sort |
Malik , Reza Firsandaya |
| title |
New particle swarm optimizer with sigmoid increasing inertia weight |
| title_short |
New particle swarm optimizer with sigmoid increasing inertia weight |
| title_full |
New particle swarm optimizer with sigmoid increasing inertia weight |
| title_fullStr |
New particle swarm optimizer with sigmoid increasing inertia weight |
| title_full_unstemmed |
New particle swarm optimizer with sigmoid increasing inertia weight |
| title_sort |
new particle swarm optimizer with sigmoid increasing inertia weight |
| publishDate |
2007 |
| url |
http://eprints.utm.my/id/eprint/17094/ http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.228.420&rep=rep1&type=pdf |
| _version_ |
1643646727702446080 |
| score |
13.251818 |