System identification by Crazy-cat swarm optimization

Sarangi, Archana; Sarangi, Shubhendu Kumar; Mukherjee, Madhurima; Panigrahi, Suvasini

doi:10.1109/icmoce.2015.7489787

Cited by 11 publications

(8 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In popular discourses, the moral panic around non-normative sexual identities, that is, homophobia, is widely circulated. This was further validated by my encounter with a homophobic article (Sarangi, 2015) published in a mainstream Odia daily that used the rhetoric of “bestiality,” “anti-Indian culture” and “import from the West” to discuss homosexuality in a derogatory fashion. Furthermore, in Odisha, experiences of queer people are conflated with the experiences of transwomen because they are the only publicly visible category of non-normative sexual subjectivity.…”

Section: Methodsmentioning

confidence: 88%

Understanding Re-partnership in Non-normative Conjugality: Narratives of Gay Men in Odisha, India

Mishra

2020

Journal of Family Issues

View full text Add to dashboard Cite

Drawing on biographical narratives of two gay men in mixed-orientation marriage who have later gone on to establish re-partnership with another gay man, this paper seeks to critique the inherent heteronormativity in the discussion around re-partnership. It examines the consequential kinship dynamics among concerned social actors such as gay men, straight women, and their biological children, and their ongoing negotiations with the social institutions of marriage and family. Further, the discussion around re-partnership between two gay men in a Western context does not necessarily consider the alternative negotiations that characterize South Asian queer experiences. Borrowing from De Villiers’ concept of queer opacity (2012) and Jingshu Zhu’s (2017) ambivalence, the paper demonstrates that the kinning process of gay men in mixed-orientation marriage forging partnership with other gay men exists in a continuum. The boundary between what needs to be undone and what needs to be redone is porous, ambiguous, and interpenetrative. In that case, this paper suggests a non-Western framework to understand re-partnership in non-normative conjugality.

show abstract

Section: Methodsmentioning

confidence: 88%

Understanding Re-partnership in Non-normative Conjugality: Narratives of Gay Men in Odisha, India

Mishra

2020

Journal of Family Issues

View full text Add to dashboard Cite

show abstract

“…У цій ситуації перспективним видається використання так званого ройового інтелекту [13] і алгоритмів оптимізації на основі роїв частинок [14], серед яких вельми ефективними показали себе оптимізаційні методи котячих зграй [15][16][17][18][19] та їх різні модифікації [20,22]. Пришвидшити процес пошуку можна, використовуючи більш просунуті версії котячих методів оптимізації, такі як оптимізаційні методи божевільних котів (crazy cats) [23,24] у поєднанні з математичним апаратом випадкового глобального пошуку [25,26]. Цікавим є також поєднання ідей теорії правдоподібності з методами глобальної оптимізації на основі еволюційного алгоритму божевільних котів для розв'язання широкого класу задач нечіткої кластеризації.…”

Section: вступunclassified

Credibilistic fuzzy clustering based on evolutionary method of crazy cats

Bodyanskiy¹,

Shafronenko²,

Pliss³

2021

SRIT

View full text Add to dashboard Cite

The problem of fuzzy clustering of large datasets that are sent for processing in both batch and online modes, based on a credibilistic approach, is considered. To find the global extremum of the credibilistic fuzzy clustering goal function, the modification of the swarm algorithm of crazy cats swarms was introduced, that combined the advantages of evolutionary algorithms and a global random search. It is shown that different search modes are generated by a unified mathematical procedure, some cases of which are known algorithms for both local and global optimizations. The proposed approach is easy to implement and is characterized by the high speed and reliability in problems of multi-extreme fuzzy clustering.

show abstract

“…Adaptive system identification had a long history of many types of research ranged from the implementation of neural networks [5][6][7][8][9] to swarm optimization algorithms [10][11][12], reaching to the applications of LMS adaptation algorithm on IIR and FIR adaptive filters proposed by [13,14] with different techniques and applications [15][16][17][18][19]. Applications of Genetic Algorithm (GA) in system identification are studied in [20,21].…”

Section: Introductionmentioning

confidence: 99%

A Novel Adaptive LMS Algorithm with Genetic Search Capabilities for System Identification of Adaptive FIR and IIR Filters

2019

View full text Add to dashboard Cite

In this paper we introduce a novel adaptation algorithm for adaptive filtering of FIR and IIR digital filters within the context of system identification. The standard LMS algorithm is hybridized with GA (Genetic Algorithm) to obtain a new integrated learning algorithm, namely, LMS-GA. The main aim of the proposed learning tool is to evade local minima, a common problem in standard LMS algorithm and its variants and approaching the global minimum by calculating the optimum parameters of the weights vector when just estimated data are accessible. In the proposed LMS-GA technique, first, it works as the standard LMS algorithm and calculates the optimum filter coefficients that minimize the mean square error, once the standard LMS algorithm gets stuck in local minimum, the LMS-GA switches to GA to update the filter coefficients and explore new region in the search space by applying the cross-over and mutation operators. The proposed LMS-GA is tested under different conditions of the input signal like input signals with colored characteristics, i.e., correlated input signals and investigated on FIR adaptive filter using the power spectral density of the input signal and the Fourier-transform of the input’s correlation matrix. Demonstrations via simulations on system identification of IIR and FIR adaptive digital filters revealed the effectiveness of the proposed LMS-GA under input signals with different characteristics.

show abstract

System identification by Crazy-cat swarm optimization

Cited by 11 publications

References 6 publications

Understanding Re-partnership in Non-normative Conjugality: Narratives of Gay Men in Odisha, India

Understanding Re-partnership in Non-normative Conjugality: Narratives of Gay Men in Odisha, India

Credibilistic fuzzy clustering based on evolutionary method of crazy cats

A Novel Adaptive LMS Algorithm with Genetic Search Capabilities for System Identification of Adaptive FIR and IIR Filters

Contact Info

Product

Resources

About