@Manual{R,
    title = {R: A Language and Environment for Statistical Computing},
    author = {{R Core Team}},
    organization = {R Foundation for Statistical Computing},
    address = {Vienna, Austria},
    year = {2015},
    url = {http://www.R-project.org/},
  }

@inproceedings{fgwcabc1,
author={Wijayanto, Arie Wahyu and Purwarianti, Ayu},
title={Improvement design of fuzzy geo-demographic clustering using Artificial Bee Colony optimization},
booktitle={2014 International Conference on Cyber and IT Service Management (CITSM)},
year={2014},
digitaldoi={10.1109/CITSM.2014.7042178},
isbn={978-1-4799-7975-2},
month={nov},
number={},
pages={69--74},
publisher={IEEE},
}

@article{fgwcabc2,
author={Wijayanto, Arie Wahyu and Purwarianti, Ayu and Son, Le Hoang},
title={Fuzzy geographically weighted clustering using artificial bee colony: An efficient geo-demographic analysis algorithm and applications to the analysis of crime behavior in population},
journal={Applied Intelligence},
year={2016},
digitaldoi={10.1007/s10489-015-0705-7},
issn={0924-669X},
month={mar},
number={2},
pages={377--398},
volume={44},
publisher={Springer},
}

@inproceedings{fgwcpso,
author={Wijayanto, Arie Wahyu and Purwarianti, Ayu},
title={Improvement of fuzzy geographically weighted clustering using particle swarm optimization},
booktitle={2014 International Conference on Information Technology Systems and Innovation (ICITSI)},
year={2014},
digitaldoi={10.1109/ICITSI.2014.7048229},
isbn={978-1-4799-6527-4},
month={November},
pages={7--12},
publisher={IEEE},
}

@inproceedings{fgwcaco,
author={Wijayanto, Arie Wahyu and Mariyah, Siti and Purwarianti, Ayu},
title={Enhancing clustering quality of fuzzy geographically weighted clustering using Ant Colony optimization},
booktitle={2017 International Conference on Data and Software Engineering (ICoDSE)},
year={2017},
digitaldoi={10.1109/ICODSE.2017.8285858},
isbn={978-1-5386-1449-5},
month={nov},
pages={1--6},
publisher={IEEE},
}

@inproceedings{fuzzyspam,
author={Wijayanto, Arie Wahyu and Takdir},
title={Fighting cyber crime in email spamming: An evaluation of fuzzy clustering approach to classify spam messages},
booktitle={2014 International Conference on Information Technology Systems and Innovation (ICITSI)},
year={2014},
digitaldoi={10.1109/ICITSI.2014.7048231},
isbn={978-1-4799-6527-4},
month={nov},
number={November},
pages={19--24},
publisher={IEEE},
}

@inproceedings{fgwc, 
author={G. A. Mason and R. D. Jacobson}, 
title={Fuzzy Geographically Weighted Clustering}, 
booktitle={Proceedings of the 9th International Conference on Geocomputation}, 
year={2007}, 
pages={1-7}, 
number={},
}

@inproceedings{fengflowerdew, 
author={Z. Q. Feng and R. Flowerdew}, 
title={Fuzzy geodemographics: a contribution from fuzzy clustering methods}, 
booktitle={Innovations in GIS 5: Selected Papers from the Fifth National Conference on GIS Research UK (GISRUK)}, 
year={1998}, 
pages={112–120}, 
publisher={Taylor and Francis Group},
}

@article{paez,
author={Antonio Paez and Martin Trepanier and Catherine Morency},
title={Geodemographic analysis and the identification of potential business partnerships enabled by transit smart cards },
journal={Transportation Research Part A: Policy and Practice },
volume={45},
number={7},
pages={640-652},
year={2011},
note={},
issn={0965-8564},
digitaldoi={10.1016/j.tra.2011.04.002},
}


@article{cfgwc, 
author={L. H. Son and P. L. Lanzi and B. C. Cuong and H. A. Hung}, 
journal={Int. J. Mach. Learn. Comput.}, 
title={Data Mining in GIS: A Novel Context-Based Fuzzy Geographically Weighted Clustering Algorithm}, 
year={2012}, 
volume={20}, 
number={6}, 
pages={1130-1146}, 
digitaldoi={10.1109/TFUZZ.2012.2201485}, 
issn={1063-6706}, 
month={Dec},}


@article{ipfgwc,
author={Le Hoang Son and Bui Cong Cuong and Pier Luca Lanzi and Nguyen Tho Thong},
title={A novel intuitionistic fuzzy clustering method for geo-demographic analysis },
journal={Expert Systems with Applications },
volume={39},
number={10},
pages={9848-9859},
year={2012},
note={},
issn={0957-4174},
digitaldoi={10.1016/j.eswa.2012.02.167},
}

@article{mipfgwc,
author={Le Hoang Son and Bui Cong Cuong and Hoang Viet Long},
title={Spatial interaction – modification model and applications to geo-demographic analysis },
journal={Knowledge-Based Systems },
volume={49},
number={},
pages={152 - 170},
year={2013},
note={},
issn={0950-7051},
digitaldoi={10.1016/j.knosys.2013.05.005},
}

@article{kwon,
author={Kwon, S. H.},
title={Cluster validity index and fuzzy clustering},
journal={Electronics Letters},
ISSN={},
publisher={},
year={1998},
month={},
volume={34},
number={},
pages={2176-2177},
}

@inproceedings{nasution2018, 
author={B. I. Nasution and R. Kurniawan}, 
booktitle={2018 International Conference on Information and Communications Technology (ICOIACT)}, 
title={Robustness of classical fuzzy C-means (FCM)}, 
year={2018}, 
volume={}, 
number={}, 
pages={321-325}, 
digitaldoi={10.1109/ICOIACT.2018.8350729}, 
ISSN={}, 
month={March},
}

@article{singh2014,
author={Tejwant Singh and Mr. Manish Mahajan},
title={Performance Comparison of Fuzzy C Means with Respect to Other Clustering Algorithm},
year={2014},
journal={International Journal of Advanced Research in Computer Science and Software Engineering},
volume={4}, 
issue={5}, 
page={89-93},
}

@book{bezdek1981,
author={Bezdek, James C.},
title={Pattern Recognition with Fuzzy Objective Function Algorithms},
year={1981},
isbn={0306406713},
publisher={Kluwer Academic Publishers},
address={Norwell, MA, USA},
} 

@article{bezdek1984,
author={James C. Bezdek and Robert Ehrlich and William Full},
title={FCM: The fuzzy c-means clustering algorithm},
journal={Computers \& Geosciences},
volume={10},
number={2},
pages={191 - 203},
year={1984},
issn={0098-3004},
digitaldoi={https://doi.org/10.1016/0098-3004(84)90020-7},
digitalurl={http://www.sciencedirect.com/science/article/pii/0098300484900207},
}

@article{chunchun,
author={Hu, Chunchun and Meng, Lingkui and Shi, Wenzhong},
title={Fuzzy clustering validity for spatial data},
journal={Geo-spatial Information Science},
year={2008},
month={Oct},
day={01},
volume={11},
number={3},
pages={191},
issn={1993-5153},
digitaldoi={10.1007/s11806-008-0094-8},
digitalurl={https://doi.org/10.1007/s11806-008-0094-8},
}

@article{cutter2006,
author={Susan L. Cutter and Christopher T. Emrich},
title ={Moral Hazard, Social Catastrophe: The Changing Face of Vulnerability along the Hurricane Coasts},
journal={The ANNALS of the American Academy of Political and Social Science},
volume={604},
number={1},
pages={102-112},
year={2006},
digitaldoi={10.1177/0002716205285515},
}


@book{harris2005,
title={Geodemographics, GIS and Neighbourhood Targeting},
author={Harris, R. and Sleight, P. and Webber, R.},
isbn={9780470864142},
lccn={2004021912},
series={Geodemographics, GIS, and Neighbourhood Targeting},
year={2005},
publisher={Wiley},
}

@article{groenen,
author={Patrick J.F. Groenen and Krzysztof Jajuga},
title={Fuzzy clustering with squared Minkowski distances},
journal={Fuzzy Sets and Systems},
volume={120},
number={2},
pages={227 - 237},
year={2001},
issn={0165-0114},
digitaldoi={https://doi.org/10.1016/S0165-0114(98)00403-5},
digitalurl={http://www.sciencedirect.com/science/article/pii/S0165011498004035},
}

@article{gueorguieva,
author={Natacha Gueorguieva and Iren Valova and George Georgiev},
title={M\&MFCM: Fuzzy C-means Clustering with Mahalanobis and Minkowski Distance Metrics},
journal={Procedia Computer Science},
volume={114},
pages={224 - 233},
year={2017},
note={Complex Adaptive Systems Conference with Theme: Engineering Cyber Physical Systems, CAS October 30 – November 1, 2017, Chicago, Illinois, USA},
issn={1877-0509},
digitaldoi={https://doi.org/10.1016/j.procs.2017.09.064},
digitalurl={http://www.sciencedirect.com/science/article/pii/S1877050917318689},
}

@book{han2011,
author={Han, J. and Pei, J. and Kamber, M.},
title={Data Mining: Concepts and Techniques},
isbn={9780123814807},
series={The Morgan Kaufmann Series in Data Management Systems},
year={2011},
publisher={Elsevier Science}
}

@article{izakian,
author={Izakian, Hesam and Abraham, Ajith},
title={Fuzzy C-means and Fuzzy Swarm for Fuzzy Clustering Problem},
journal={Expert Syst. Appl.},
issue_date={March, 2011},
volume={38},
number={3},
month={mar},
year={2011},
issn={0957-4174},
pages={1835--1838},
numpages={4},
digitalurl={http://dx.doi.org/10.1016/j.eswa.2010.07.112},
digitaldoi={10.1016/j.eswa.2010.07.112},
acmid={1879373},
publisher={Pergamon Press, Inc.},
address={Tarrytown, NY, USA},
} 

@article{zhai2014,
author={Qingqing Zhai and Jun Yang and Min Xie and Yu Zhao},
title={Generalized moment-independent importance measures based on Minkowski distance},
journal={European Journal of Operational Research},
volume={239},
number={2},
pages={449 - 455},
year={2014},
issn={0377-2217},
digitaldoi={https://doi.org/10.1016/j.ejor.2014.05.021},
digitalurl={http://www.sciencedirect.com/science/article/pii/S0377221714004445},
}

@book{yang2014,
author={Yang, Xin-She},
title={Nature-Inspired Optimization Algorithms},
isbn={9780124167452},
lccn={2014931594},
series={Elsevier insights},
digitalurl={https://books.google.co.jp/books?id=BbHVAQAAQBAJ},
year={2014},
publisher={Elsevier Science}
}


@article{wu2012, 
author={J. Wu and H. Xiong and C. Liu and J. Chen}, 
title={A Generalization of Distance Functions for Fuzzy$c$-Means Clustering With Centroids of Arithmetic Means}, 
journal={IEEE Transactions on Fuzzy Systems}, 
year={2012}, 
volume={20}, 
number={3}, 
pages={557-571}, 
digitaldoi={10.1109/TFUZZ.2011.2179659}, 
ISSN={1063-6706}, 
month={June},
}

@article{singh2013,
author={Archana Singh and Avantika Yadav and Ajay Rana},
title={K-means with Three different Distance Metrics},
journal={International Journal of Computer Applications},
year={2013},
volume={67},
number={10},
pages={13-17},
month={April},
}


@inproceedings{srivastava2011,
author={Srivastava, Vivek and Tripathi, Bipin K. and Pathak, Vinay K.},
title={An Evolutionary Fuzzy Clustering with Minkowski Distances},
editor={Lu, Bao-Liang and Zhang, Liqing and Kwok, James},
booktitle={Neural Information Processing},
year={2011},
publisher={Springer Berlin Heidelberg},
address={Berlin, Heidelberg},
pages={753--760},
isbn={978-3-642-24958-7},
}

@inproceedings{liu2008, 
author={Hsiang-Chuan Liu and Jeng-Ming Yih and Der-Bang Wu and Shin-Wu Liu}, 
title={Fuzzy C-mean algorithm based on “complete” Mahalanobis distances}, 
booktitle={2008 International Conference on Machine Learning and Cybernetics}, 
year={2008}, 
volume={6}, 
number={}, 
pages={3569-3574},
digitaldoi={10.1109/ICMLC.2008.4621023}, 
ISSN={2160-133X}, 
month={July},
}

@inproceedings{nayak,
author={Nayak, Janmenjoy and Nanda, Matrupallab and Nayak, Kamlesh and Naik, Bighnaraj and Behera, Himansu Sekhar},
title={An Improved Firefly Fuzzy C-Means (FAFCM) Algorithm for Clustering Real World Data Sets},
editor={Kumar Kundu, Malay and Mohapatra, Durga Prasad and Konar, Amit and Chakraborty, Aruna},
booktitle={Advanced Computing, Networking and Informatics- Volume 1},
year={2014},
publisher={Springer International Publishing},
address={Cham},
pages={339--348},
isbn={978-3-319-07353-8},
}

@article{dunn,
author={ J. C. Dunn },
title={A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters},
journal={Journal of Cybernetics},
volume={3},
number={3},
pages={32-57},
year ={1973},
publisher={Taylor \& Francis},
digitaldoi={10.1080/01969727308546046},
digitalurl={https://doi.org/10.1080/01969727308546046},
eprint={https://doi.org/10.1080/01969727308546046},
}

@article{putra2017,
author={Fikri Handoko Putra and Robert Kurniawan},
title={Clustering for Disaster Areas Endemic Dengue Hemorrhagic Fever Based on Factors had Caused in East Java Using Fuzzy Geographically Weighted Clustering - Particle Swarm Optimization},
journal={Jurnal Aplikasi Statistika \& Komputasi Statistik},
volume={8},
number={01},
year={2017},
issn={2615-1367},	
pages={27},	
digitalurl={https://jurnal.stis.ac.id/index.php/jurnalasks/article/view/10},
}


@book{bnpb,
author={BNPB},
title={Rencana Strategis Badan Nasional Penanggulangan Bencana 2015-2019},
year={2015},
publisher={BNPB},
address={Jakarta},
} 

@article{siagian2014,
author={Siagian, Tiodora and Purhadi, Purhadi and Suhartono, Suhartono and Ritonga, Hamonangan},
title={Social vulnerability to natural hazards in Indonesia: driving factors and policy implications},
year={2014},
journal={Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards},
volume={70},
number={2},
pages={1603-1617},
digitalurl={https://EconPapers.repec.org/RePEc:spr:nathaz:v:70:y:2014:i:2:p:1603-1617}
}

@article{hawu2015,
author={Hawu, J. F. and Sihotang, D. M. and Polly, Y. T.},
title={Pemetaan Tingkat Kerusakan Gempa Bumi di Wilayah Nusa Tenggara Timur Berbasis Sistem Informasi Geografis (SIG)},
year={2015},
journal={Jurnal Komputer dan Informatika (JICON)},
volume={},
number={},
pages={113-122},
digitalurl={}
}


@misc{toolbox,
author={B. Balasko and J. Abonyi and B. Feil}, 
title={Fuzzy Clustering and Data Analysis Toolbox: For Use with Matlab}, 
address={Veszprem, Hungary}, 
year={2005}
}

@Manual{spatialclust,
    title = {spatialClust: Spatial Clustering using Fuzzy Geographically Weighted Clustering},
    author = {Imam Habib Pamungkas and Setia Pramana},
    year = {2016},
    note = {R package version 1.1.1},
    url = {https://CRAN.R-project.org/package=spatialClust},
  }


@article{meteo,
author={Y. Lu and T. Ma and C. Yin and X. Xie and W. Tian and S. Zhong},
title={Implementation of the Fuzzy C-Means Clustering Algorithm in Meteorological Data}, 
journal={Int. J. Database Theory Appl.}, 
volume={6}, 
number={6}, 
page={1–18}, 
month={Dec},
year={2013},
}

@article{ifv,
author={K.S. Chuang and H.L. Tzeng and S. Chen and J. Wu and T.J. Chen}, 
title={Fuzzy c-means clustering with spatial information for image segmentation},
journal={Comput. Med. Imaging Graph.}, 
volume={30}, 
number={1}, 
page={9–15}, 
month={Jan}, 
year={2006},
}

@article{rashedi2009,
author={E. Rashedi and  H. Nezamabadi-pour and S. Saryazdi}, 
title={GSA: A Gravitational Search Algorithm},
journal={Information Sciences}, 
volume={179}, 
number={13}, 
page={2232-2248}, 
month={June}, 
year={2009},
}

@INPROCEEDINGS{Li2017gsa,
  author={J. {Li} and N. {Dong}},
  booktitle={2017 13th International Conference on Computational Intelligence and Security (CIS)}, 
  title={Gravitational Search Algorithm with a New Technique}, 
  year={2017},
  volume={},
  number={},
  pages={516-519},
  doi={10.1109/CIS.2017.00120}}

@inproceedings{oliveira2018, 
author={P. B. de Moura Oliveira and Josenalde Oliveira and José Boaventura Cunha}, 
title={Trends in Gravitational Search Algorithm}, 
booktitle={Distributed Computing and Artificial Intelligence, 14th International Conference, Advances in Intelligent Systems and Computing}, 
year={2018}, 
volume={620}, 
number={}, 
pages={270-277},
digitaldoi={10.1007/978-3-319-62410-5_33}, 
ISSN={}, 
month={July},
}

@inproceedings{sabri2013, 
author={Norlina Mohd Sabri and Mazidah Puteh and Mohamad Rusop Mahmood}, 
title={An Overview of Gravitational Search Algorithm Utilization in Optimization Problems}, 
booktitle={2013 IEEE 3rd International Conference on System Engineering and Technology, 19 - 20 Aug. 2013, Shah Alam, Malaysia},
year={2013}, 
volume={}, 
number={}, 
pages={61-66},
digitaldoi={10.1109/ICSEngT.2013.6650144}, 
ISBN={978-1-4799-1030-4}, 
month={August},
}

@article{fgwcgsa,
author={I. H. Pamungkas and S. Pramana}, 
title={Improvement Method of Fuzzy Geographically Weighted Clustering using Gravitational Search Algorithm},
journal={Journal of Computer Science and Information}, 
volume={11}, 
number={1}, 
page={10-16}, 
month={June}, 
year={2019},
}

@article{fister,
author={Fister, Iztok and Fister, Iztok Jr and Yang, Xin-She and Bresta, Janez},
title={A comprehensive review of firefly algorithms},
year={2013},
journal={Swarm and Evolutionary Computation},
volume={13},
pages={34-46},
digitaldoi={10.1080/24694452.2018.1535887},
}

@article{intfa,
author={Fateen, Seif-Eddeen K and Bonilla-Petriciolet, Adrián},
title={Intelligent Firefly Algorithm for Global Optimization},
year={2013},
journal={Cuckoo Search and Firefly Algorithm: Theory and Applications},
volume={516},
pages={315-330},
}

%% tinggal tambah yang optimasi aneh2

@inproceedings{Zhao2010,
  doi = {10.1109/ccie.2010.200},
  url = {https://doi.org/10.1109/ccie.2010.200},
  year = {2010},
  publisher = {{IEEE}},
  author = {Qi Zhao and Guijuan Li and Shuxia Xing},
  title = {{FCM} Algorithm Based on the Optimization Parameters of Objective Function Point},
  booktitle = {2010 International Conference on Computing,  Control and Industrial Engineering}
}

@article{Zhu2017,
  doi = {10.1016/j.asoc.2017.07.026},
  url = {https://doi.org/10.1016/j.asoc.2017.07.026},
  year = {2017},
  month = dec,
  publisher = {Elsevier {BV}},
  volume = {61},
  pages = {364--376},
  author = {Xiubin Zhu and Witold Pedrycz and Zhiwu Li},
  title = {Fuzzy clustering with nonlinearly transformed data},
  journal = {Applied Soft Computing}
}


@inproceedings{Runkler2006,
  doi = {10.1109/fuzzy.2006.1681773},
  url = {https://doi.org/10.1109/fuzzy.2006.1681773},
  year = {2006},
  publisher = {{IEEE}},
  author = {T.A. Runkler and C. Katz},
  title = {Fuzzy Clustering by Particle Swarm Optimization},
  booktitle = {2006 {IEEE} International Conference on Fuzzy Systems}
}

@article{Selim1992,
  doi = {10.1016/0165-0114(92)90323-v},
  url = {https://doi.org/10.1016/0165-0114(92)90323-v},
  year = {1992},
  month = jul,
  publisher = {Elsevier {BV}},
  volume = {49},
  number = {2},
  pages = {181--191},
  author = {Shokri Z. Selim and M.S. Kamel},
  title = {On the mathematical and numerical properties of the fuzzy c-means algorithm},
  journal = {Fuzzy Sets and Systems}
}

@article{Karaboga2011,
  doi = {10.1016/j.asoc.2009.12.025},
  url = {https://doi.org/10.1016/j.asoc.2009.12.025},
  year = {2011},
  month = jan,
  publisher = {Elsevier {BV}},
  volume = {11},
  number = {1},
  pages = {652--657},
  author = {Dervis Karaboga and Celal Ozturk},
  title = {A novel clustering approach: Artificial Bee Colony ({ABC}) algorithm},
  journal = {Applied Soft Computing}
}

@INPROCEEDINGS{nurmala2015,
  author={N. {Nurmala} and A. {Purwarianti}},
  booktitle={2015 International Conference on Information Technology Systems and Innovation (ICITSI)}, 
  title={Improvement of Fuzzy Geographically Weighted Clustering-Ant Colony Optimization using context-based clustering}, 
  year={2015},
  volume={},
  number={},
  pages={1-6},
  doi={10.1109/ICITSI.2015.7437726}}
  
  @inproceedings{Krishnamoorthi2013,
  doi = {10.1109/iccci.2013.6466275},
  url = {https://doi.org/10.1109/iccci.2013.6466275},
  year = {2013},
  month = jan,
  publisher = {{IEEE}},
  author = {M. Krishnamoorthi and A. M. Natarajan},
  title = {A comparative analysis of enhanced Artificial Bee Colony algorithms for data clustering},
  booktitle = {2013 International Conference on Computer Communication and Informatics}
}

@article{Dhal2019,
  doi = {10.1007/s00521-019-04585-z},
  url = {https://doi.org/10.1007/s00521-019-04585-z},
  year = {2019},
  month = nov,
  publisher = {Springer Science and Business Media {LLC}},
  volume = {32},
  number = {8},
  pages = {3059--3077},
  author = {Krishna Gopal Dhal and Jorge G{\'{a}}lvez and Sanjoy Das},
  title = {Toward the modification of flower pollination algorithm in clustering-based image segmentation},
  journal = {Neural Computing and Applications}
}

@article{Abdussamad,
	author = {Siti Abdussamad},
	title = {Evaluation of Implementation Context Based Clustering In Fuzzy Geographically Weighted Clustering-Particle Swarm Optimization Algorithm},
	journal = {Jurnal EECCIS},
	volume = {14},
	number = {1},
	year = {2020},
	keywords = {FGWC-PSO, CFGWC-PSO, dengue fever, IFV index},
	abstract = {This paper contains an evaluation of the implementation Context Based Clustering method into Fuzzy Geographically Weighted Clustering-Particle Swarm Optimization (FGWC-PSO) algorithm on 11 variable from data factors causing the spread of dengue in East Java. Integration of Particle Swarm Optimization as a metaheuristic algorithm makes the computation run longer so, the solution in this paper is FGWC-PSO will be combined with context based clustering to produce a hybrid method (CFGWC-PSO) which can shorten the computational time of the clustering algorithm. Context based clustering in this paper will use 3 ways, namely by using random values, using Fuzzy C-Means (FCM), and using mean and standard deviations. CFGWC-PSO algorithm using number of clusters = 2 and CFGWC-PSO will be evaluated using IFV index, based on processing results found that the best clustering algorithm is CFGWC-PSO using FCM},
	issn = {2460-8122},	pages = {10--15},
	url = {https://jurnaleeccis.ub.ac.id/index.php/eeccis/article/view/609}
}

@article{Murugasamy2016,
  doi = {10.4236/cs.2016.79204},
  url = {https://doi.org/10.4236/cs.2016.79204},
  year = {2016},
  publisher = {Scientific Research Publishing,  Inc.},
  volume = {07},
  number = {09},
  pages = {2339--2348},
  author = {Krishnamoorthi Murugasamy and Kalamani Murugasamy},
  title = {Hybrid Clustering Using Firefly Optimization and Fuzzy C-Means Algorithm},
  journal = {Circuits and Systems}
}

@article{Nasution2020,
  doi = {10.1016/j.ijdrr.2020.101801},
  url = {https://doi.org/10.1016/j.ijdrr.2020.101801},
  year = {2020},
  month = dec,
  publisher = {Elsevier {BV}},
  volume = {51},
  pages = {101801},
  author = {Bahrul Ilmi Nasution and Robert Kurniawan and Tiodora Hadumaon Siagian and Ahmad Fudholi},
  title = {Revisiting social vulnerability analysis in Indonesia: An optimized spatial fuzzy clustering approach},
  journal = {International Journal of Disaster Risk Reduction}
}

@incollection{Bairathi2018,
  doi = {10.1007/978-3-030-16660-1_81},
  url = {https://doi.org/10.1007/978-3-030-16660-1_81},
  year = {2018},
  month = apr,
  publisher = {Springer International Publishing},
  pages = {832--842},
  author = {Divya Bairathi and Dinesh Gopalani},
  title = {A Novel Swarm Intelligence Based Optimization Method: Harris' Hawk Optimization},
  booktitle = {Advances in Intelligent Systems and Computing}
}

@article{Heidari2019,
  doi = {10.1016/j.future.2019.02.028},
  url = {https://doi.org/10.1016/j.future.2019.02.028},
  year = {2019},
  month = aug,
  publisher = {Elsevier {BV}},
  volume = {97},
  pages = {849--872},
  author = {Ali Asghar Heidari and Seyedali Mirjalili and Hossam Faris and Ibrahim Aljarah and Majdi Mafarja and Huiling Chen},
  title = {Harris hawks optimization: Algorithm and applications},
  journal = {Future Generation Computer Systems}
}

@article{Lozano2002,
  doi = {10.1016/s0165-0114(01)00003-3},
  url = {https://doi.org/10.1016/s0165-0114(01)00003-3},
  year = {2002},
  month = feb,
  publisher = {Elsevier {BV}},
  volume = {126},
  number = {1},
  pages = {23--32},
  author = {S. Lozano and D. Dobado and J. Larra{\~{n}}eta and L. Onieva},
  title = {Modified fuzzy C-means algorithm for cellular manufacturing},
  journal = {Fuzzy Sets and Systems}
}

@article{Zhao2015,
  doi = {10.1016/j.asoc.2015.01.039},
  url = {https://doi.org/10.1016/j.asoc.2015.01.039},
  year = {2015},
  month = may,
  publisher = {Elsevier {BV}},
  volume = {30},
  pages = {48--57},
  author = {Feng Zhao and Hanqiang Liu and Jiulun Fan},
  title = {A multiobjective spatial fuzzy clustering algorithm for image segmentation},
  journal = {Applied Soft Computing}
}

@article{Brouwer2010,
  doi = {10.1016/j.fss.2009.10.019},
  url = {https://doi.org/10.1016/j.fss.2009.10.019},
  year = {2010},
  month = jul,
  publisher = {Elsevier {BV}},
  volume = {161},
  number = {13},
  pages = {1774--1789},
  author = {Roelof K. Brouwer and Albert Groenwold},
  title = {Modified fuzzy c-means for ordinal valued attributes with particle swarm for optimization},
  journal = {Fuzzy Sets and Systems}
}

@book{2018,
  doi = {10.1007/978-981-10-5221-7},
  url = {https://doi.org/10.1007/978-981-10-5221-7},
  year = {2018},
  publisher = {Springer Singapore},
  editor = {Omid Bozorg-Haddad},
  title = {Advanced Optimization by Nature-Inspired Algorithms}
}

@article{Kuo2018,
  doi = {10.1016/j.asoc.2018.02.039},
  url = {https://doi.org/10.1016/j.asoc.2018.02.039},
  year = {2018},
  month = jun,
  publisher = {Elsevier {BV}},
  volume = {67},
  pages = {299--308},
  author = {R.J. Kuo and T.C. Lin and F.E. Zulvia and C.Y. Tsai},
  title = {A hybrid metaheuristic and kernel intuitionistic fuzzy c-means algorithm for cluster analysis},
  journal = {Applied Soft Computing}
}

@INPROCEEDINGS{Kennedy1995,
  author={J. {Kennedy} and R. {Eberhart}},
  booktitle={Proceedings of ICNN'95 - International Conference on Neural Networks}, 
  title={Particle swarm optimization}, 
  year={1995},
  volume={4},
  number={},
  pages={1942-1948 vol.4},
  doi={10.1109/ICNN.1995.488968}
}

@article{Karaboga2007,
  doi = {10.1007/s10898-007-9149-x},
  url = {https://doi.org/10.1007/s10898-007-9149-x},
  year = {2007},
  month = apr,
  publisher = {Springer Science and Business Media {LLC}},
  volume = {39},
  number = {3},
  pages = {459--471},
  author = {Dervis Karaboga and Bahriye Basturk},
  title = {A powerful and efficient algorithm for numerical function optimization: artificial bee colony ({ABC}) algorithm},
  journal = {Journal of Global Optimization}
}

@incollection{Yang2009,
  doi = {10.1007/978-3-642-04944-6_14},
  url = {https://doi.org/10.1007/978-3-642-04944-6_14},
  year = {2009},
  publisher = {Springer Berlin Heidelberg},
  pages = {169--178},
  author = {Xin-She Yang},
  title = {Firefly Algorithms for Multimodal Optimization},
  booktitle = {Stochastic Algorithms: Foundations and Applications}
}

@incollection{Yang2012,
  doi = {10.1007/978-3-642-32894-7_27},
  url = {https://doi.org/10.1007/978-3-642-32894-7_27},
  year = {2012},
  publisher = {Springer Berlin Heidelberg},
  pages = {240--249},
  author = {Xin-She Yang},
  title = {Flower Pollination Algorithm for Global Optimization},
  booktitle = {Unconventional Computation and Natural Computation}
}

@article{Tsekouras2013,
  doi = {10.1016/j.fss.2012.10.004},
  url = {https://doi.org/10.1016/j.fss.2012.10.004},
  year = {2013},
  month = jun,
  publisher = {Elsevier {BV}},
  volume = {221},
  pages = {65--89},
  author = {George E. Tsekouras and John Tsimikas},
  title = {On training {RBF} neural networks using input\-output fuzzy clustering and particle swarm optimization},
  journal = {Fuzzy Sets and Systems}
}

@article{Rao2012,
  doi = {10.1080/0305215x.2011.652103},
  url = {https://doi.org/10.1080/0305215x.2011.652103},
  year = {2012},
  month = dec,
  publisher = {Informa {UK} Limited},
  volume = {44},
  number = {12},
  pages = {1447--1462},
  author = {R. V. Rao and V. J. Savsani and J. Balic},
  title = {Teaching\-learning-based optimization algorithm for unconstrained and constrained real-parameter optimization problems},
  journal = {Engineering Optimization}
}

@inproceedings{Bansal2011,
  doi = {10.1109/nabic.2011.6089659},
  url = {https://doi.org/10.1109/nabic.2011.6089659},
  year = {2011},
  month = oct,
  publisher = {{IEEE}},
  author = {J. C. Bansal and P. K. Singh and Mukesh Saraswat and Abhishek Verma and Shimpi Singh Jadon and Ajith Abraham},
  title = {Inertia Weight strategies in Particle Swarm Optimization},
  booktitle = {2011 Third World Congress on Nature and Biologically Inspired Computing}
}

@article{Grekousis2012,
  doi = {10.1016/j.apgeog.2011.11.004},
  url = {https://doi.org/10.1016/j.apgeog.2011.11.004},
  year = {2012},
  month = may,
  publisher = {Elsevier {BV}},
  volume = {34},
  pages = {125--136},
  author = {George Grekousis and Hatzichristos Thomas},
  title = {Comparison of two fuzzy algorithms in geodemographic segmentation analysis: The Fuzzy C-Means and Gustafson{\textendash}Kessel methods},
  journal = {Applied Geography}
}

@mastersthesis{Wijayanto2015a,
author = {Wijayanto, Arie Wahyu},
school = {Insitut Teknologi Bandung},
title = {{Improvement of fuzzy geo-demographic clustering using metaheuristic optimization on Indonesia population census}},
year = {2015}
}

@Manual{rdist,
    title = {rdist: Calculate Pairwise Distances},
    author = {Nello Blaser},
    year = {2020},
    note = {R package version 0.0.5},
    url = {https://CRAN.R-project.org/package=rdist},
}

@Article{ppclust,
    title = {Comparison of Internal Validity Indices for Fuzzy Clustering},
    author = {Zeynel Cebeci},
    journal = {Journal of Agricultural Informatics},
    year = {2019},
    number = {2},
    volume = {10},
    pages = {1-14},
    doi = {10.17700/jai.2019.10.2.537},
}

@article{Rao2012b,
abstract = {Nature inspired population based algorithms is a research field which simulates different natural phenomena to solve a wide range of problems. Researchers have proposed several algorithms considering different natural phenomena. Teaching-Learning-based optimization (TLBO) is one of the recently proposed population based algorithms which simulates the teaching-learning process of the class room. This algorithm does not require any algorithm-specific control parameters. In this paper, elitism concept is introduced in the TLBO algorithm and its effect on the performance of the algorithm is investigated. The effects of common controlling parameters such as the population size and the number of generations on the performance of the algorithm are also investigated. The proposed algorithm is tested on 35 constrained benchmark functions with different characteristics and the performance of the algorithm is compared with that of other well known optimization algorithms. The proposed algorithm can be applied to various optimization problems of the industrial environment. {\textcopyright} 2012 Growing Science Ltd. All rights reserved.},
author = {Rao, R. Venkata and Patel, Vivek},
doi = {10.5267/j.ijiec.2012.03.007},
issn = {19232926},
journal = {International Journal of Industrial Engineering Computations},
keywords = {Constrained optimization problems,Elitism,Number of generations,Optimization,Population size,Teaching-learning-based},
number = {4},
pages = {535--560},
title = {{An elitist teaching-learning-based optimization algorithm for solving complex constrained optimization problems}},
volume = {3},
year = {2012}
}

@INPROCEEDINGS{bhadoria2016,
  author={A. {Bhadoria} and M. {Singh} and M. {Gupta}},
  booktitle={2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT)}, 
  title={An improved elitism based teaching-learning optimization algorithm}, 
  year={2016},
  volume={},
  number={},
  pages={3726-3730},
  doi={10.1109/ICEEOT.2016.7755407}}
  
@article{Rao2011,
abstract = {A new efficient optimization method, called 'TeachingLearning-Based Optimization (TLBO)', is proposed in this paper for the optimization of mechanical design problems. This method works on the effect of influence of a teacher on learners. Like other nature-inspired algorithms, TLBO is also a population-based method and uses a population of solutions to proceed to the global solution. The population is considered as a group of learners or a class of learners. The process of TLBO is divided into two parts: the first part consists of the 'Teacher Phase' and the second part consists of the 'Learner Phase'. 'Teacher Phase' means learning from the teacher and 'Learner Phase' means learning by the interaction between learners. The basic philosophy of the TLBO method is explained in detail. To check the effectiveness of the method it is tested on five different constrained benchmark test functions with different characteristics, four different benchmark mechanical design problems and six mechanical design optimization problems which have real world applications. The effectiveness of the TLBO method is compared with the other population-based optimization algorithms based on the best solution, average solution, convergence rate and computational effort. Results show that TLBO is more effective and efficient than the other optimization methods for the mechanical design optimization problems considered. This novel optimization method can be easily extended to other engineering design optimization problems. {\textcopyright} 2011 Elsevier Ltd. All rights reserved.},
author = {Rao, R. V. and Savsani, V. J. and Vakharia, D. P.},
doi = {10.1016/j.cad.2010.12.015},
issn = {00104485},
journal = {CAD Computer Aided Design},
keywords = {Constrained benchmark functions,Mechanical design optimization,Teachinglearning-based optimization},
month = {mar},
number = {3},
pages = {303--315},
publisher = {Elsevier},
title = {{Teaching-learning-based optimization: A novel method for constrained mechanical design optimization problems}},
volume = {43},
year = {2011}
}
