Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Sagar S. De"'
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 33, Iss 4, Pp 453-467 (2021)
Biogeography Based Optimization (BBO) is a population based metaheuristic algorithm using the idea of migration and mutation operation of species for solving complex optimization problems. BBO has demonstrated good performance on various unconstraine
Externí odkaz:
https://doaj.org/article/e1fde2dc1e964eb0ba1137a88ec4f2eb
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 33, Iss 4, Pp 453-467 (2021)
Biogeography Based Optimization (BBO) is a population based metaheuristic algorithm using the idea of migration and mutation operation of species for solving complex optimization problems. BBO has demonstrated good performance on various unconstraine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cab0ffdcedfcb34e4f0788215c1a9afe
https://doi.org/10.1016/j.jksuci.2018.03.013
https://doi.org/10.1016/j.jksuci.2018.03.013
Publikováno v:
Intelligent Systems in Accounting, Finance and Management. 28:35-51
Financial institutions, by and large, rely on the use of machine learning techniques to improve the classic credit risk assessment model for reduction of costs, delivery of faster decisions, guaranteed credit collections, and risk mitigations. As suc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44b62718744ad1443a1f64f0c018bcb3
https://doi.org/10.1002/isaf.1486
https://doi.org/10.1002/isaf.1486
Publikováno v:
Biologically Inspired Techniques in Many Criteria Decision Making ISBN: 9789811687389
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c2e738bee1f7294cb2e2f70a47f47605
https://doi.org/10.1007/978-981-16-8739-6_7
https://doi.org/10.1007/978-981-16-8739-6_7
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ae4df79e87815f7dedce268e5faeac6
https://doi.org/10.2139/ssrn.4270249
https://doi.org/10.2139/ssrn.4270249
Autor:
Satchidananda Dehuri, Sagar S. De
Publikováno v:
Learning and Analytics in Intelligent Systems ISBN: 9783030390327
The influence maximization, which selects a set of k users (called seed set) from a social network to maximize the expected number of influenced users (called influence spread), is a key algorithmic problem in social influence analysis. In the past,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd980534ae83c0a64ddb88b13feaf3f3
https://doi.org/10.1007/978-3-030-39033-4_2
https://doi.org/10.1007/978-3-030-39033-4_2
Publikováno v:
ICIT
Revealing the non-dominated solutions is one of the vital and essential part of multi-objective optimization algorithms. However, the process of identifying non-dominated solutions in the case of multi-objective optimization problems is computational
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca1166a218a22164af4ce038fc67d0ba
https://doi.org/10.1109/icit.2017.45
https://doi.org/10.1109/icit.2017.45
Publikováno v:
ICIT
In this paper, we have used chaotic maps to improve locally and globally tuned biogeography-based optimization (LGBBO) algorithm. The effect of chaotic maps like Chebyshev, Logistic, Sinusoidal, and Circle for enhancing the efficiency of LGBBO are st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e85a2857c29a3c72947aadd7ffb9c1c
https://doi.org/10.1109/icit.2017.44
https://doi.org/10.1109/icit.2017.44
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811056864
Biogeography-Based Optimization (BBO) is a nature-inspired meta-heuristic algorithm, which uses the idea of the migration strategy of animals or other species for solving complex optimization problems. In BBO, adaptation of the intensification and di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9702ac8efcda955dce535cd7619a924f
https://doi.org/10.1007/978-981-10-5687-1_57
https://doi.org/10.1007/978-981-10-5687-1_57
Publikováno v:
International Journal of System Dynamics Applications. 2:19-32
In the visual data mining, visualization of clusters is a challenging task. Although lots of techniques already have been developed, the challenges still remain to represent large volume of data with multiple dimension and overlapped clusters. In thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4552d2e1e3b0ea38f9c0555dc2aa5e0b
https://doi.org/10.4018/ijsda.2013100102
https://doi.org/10.4018/ijsda.2013100102