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A new initialization technique in polar coordinates for Particle Swarm Optimization and Polar PSO

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@article{IJASEIT1794,
   author = {Moaath Shatnawi and Mohammad Faidzul Nasrudin and Shahnorbanun Sahran},
   title = {A new initialization technique in polar coordinates for Particle Swarm Optimization and Polar PSO},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {7},
   number = {1},
   year = {2017},
   pages = {242--249},
   keywords = {polar coordinates; particle swarm optimization; random initialization; polar PSO},
   abstract = {Particle Swarm Optimization (PSO) is one of the famous algorithms inspired by the natural behavior of a swarm (particles). However, it is used to solve n-dimensional problems in search space. One of its modified versions a Polar Particle Swarm Optimizer, was operated in polar coordinates by using an appropriate mapping function introduced based on polar coordinates. The modified algorithm faced some problems, such as generating a distorted search space, which may have been caused by the method of randomization. This paper introduces an initialization technique that operates entirely in polar coordinates. Moreover, an investigation based on standard PSO was done to test the proposed technique. The second part was to use the new initialization technique to enhance the polar PSO performance. In addition, the proposed techniques show evenly distributed points in the polar search space. Furthermore, experimental results were obtained by using various benchmark test functions on different settings of dimensions. While its shows a little enhancement in some benchmark test functions in both PSO and polar PSO, statistically there are no significant differences by using the analysis of variance (ANOVA).},
   issn = {2088-5334},
   publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},
   url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=1794},
   doi = {10.18517/ijaseit.7.1.1794}
}

EndNote

%A Shatnawi, Moaath
%A Nasrudin, Mohammad Faidzul
%A Sahran, Shahnorbanun
%D 2017
%T A new initialization technique in polar coordinates for Particle Swarm Optimization and Polar PSO
%B 2017
%9 polar coordinates; particle swarm optimization; random initialization; polar PSO
%! A new initialization technique in polar coordinates for Particle Swarm Optimization and Polar PSO
%K polar coordinates; particle swarm optimization; random initialization; polar PSO
%X Particle Swarm Optimization (PSO) is one of the famous algorithms inspired by the natural behavior of a swarm (particles). However, it is used to solve n-dimensional problems in search space. One of its modified versions a Polar Particle Swarm Optimizer, was operated in polar coordinates by using an appropriate mapping function introduced based on polar coordinates. The modified algorithm faced some problems, such as generating a distorted search space, which may have been caused by the method of randomization. This paper introduces an initialization technique that operates entirely in polar coordinates. Moreover, an investigation based on standard PSO was done to test the proposed technique. The second part was to use the new initialization technique to enhance the polar PSO performance. In addition, the proposed techniques show evenly distributed points in the polar search space. Furthermore, experimental results were obtained by using various benchmark test functions on different settings of dimensions. While its shows a little enhancement in some benchmark test functions in both PSO and polar PSO, statistically there are no significant differences by using the analysis of variance (ANOVA).
%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=1794
%R doi:10.18517/ijaseit.7.1.1794
%J International Journal on Advanced Science, Engineering and Information Technology
%V 7
%N 1
%@ 2088-5334

IEEE

Moaath Shatnawi,Mohammad Faidzul Nasrudin and Shahnorbanun Sahran,"A new initialization technique in polar coordinates for Particle Swarm Optimization and Polar PSO," International Journal on Advanced Science, Engineering and Information Technology, vol. 7, no. 1, pp. 242-249, 2017. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.7.1.1794.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Shatnawi, Moaath
AU  - Nasrudin, Mohammad Faidzul
AU  - Sahran, Shahnorbanun
PY  - 2017
TI  - A new initialization technique in polar coordinates for Particle Swarm Optimization and Polar PSO
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 7 (2017) No. 1
Y2  - 2017
SP  - 242
EP  - 249
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - polar coordinates; particle swarm optimization; random initialization; polar PSO
N2  - Particle Swarm Optimization (PSO) is one of the famous algorithms inspired by the natural behavior of a swarm (particles). However, it is used to solve n-dimensional problems in search space. One of its modified versions a Polar Particle Swarm Optimizer, was operated in polar coordinates by using an appropriate mapping function introduced based on polar coordinates. The modified algorithm faced some problems, such as generating a distorted search space, which may have been caused by the method of randomization. This paper introduces an initialization technique that operates entirely in polar coordinates. Moreover, an investigation based on standard PSO was done to test the proposed technique. The second part was to use the new initialization technique to enhance the polar PSO performance. In addition, the proposed techniques show evenly distributed points in the polar search space. Furthermore, experimental results were obtained by using various benchmark test functions on different settings of dimensions. While its shows a little enhancement in some benchmark test functions in both PSO and polar PSO, statistically there are no significant differences by using the analysis of variance (ANOVA).
UR  - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=1794
DO  - 10.18517/ijaseit.7.1.1794

RefWorks

RT Journal Article
ID 1794
A1 Shatnawi, Moaath
A1 Nasrudin, Mohammad Faidzul
A1 Sahran, Shahnorbanun
T1 A new initialization technique in polar coordinates for Particle Swarm Optimization and Polar PSO
JF International Journal on Advanced Science, Engineering and Information Technology
VO 7
IS 1
YR 2017
SP 242
OP 249
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 polar coordinates; particle swarm optimization; random initialization; polar PSO
AB Particle Swarm Optimization (PSO) is one of the famous algorithms inspired by the natural behavior of a swarm (particles). However, it is used to solve n-dimensional problems in search space. One of its modified versions a Polar Particle Swarm Optimizer, was operated in polar coordinates by using an appropriate mapping function introduced based on polar coordinates. The modified algorithm faced some problems, such as generating a distorted search space, which may have been caused by the method of randomization. This paper introduces an initialization technique that operates entirely in polar coordinates. Moreover, an investigation based on standard PSO was done to test the proposed technique. The second part was to use the new initialization technique to enhance the polar PSO performance. In addition, the proposed techniques show evenly distributed points in the polar search space. Furthermore, experimental results were obtained by using various benchmark test functions on different settings of dimensions. While its shows a little enhancement in some benchmark test functions in both PSO and polar PSO, statistically there are no significant differences by using the analysis of variance (ANOVA).
LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=1794
DO  - 10.18517/ijaseit.7.1.1794