Zobrazeno 1 - 10
of 99
pro vyhledávání: '"Suash Deb"'
Publikováno v:
IEEE Access, Vol 9, Pp 51166-51178 (2021)
The authors got the motivation for writing the article based on an issue, with which developers of the newly developed nature-inspired algorithms are usually confronted today: How to select the test benchmark such that it highlights the quality of th
Externí odkaz:
https://doaj.org/article/f1ef1ac6d65c469695cf5dc3f317deb4
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 10 (2014)
Sonar signals recognition is an important task in detecting the presence of some significant objects under the sea. In military, sonar signals are used in lieu of visuals to navigate underwater and/or locate enemy submarines in proximity. In particul
Externí odkaz:
https://doaj.org/article/1a4c18b5549f4f3888cf47042238c8d6
Publikováno v:
The Scientific World Journal, Vol 2014 (2014)
Traditional K-means clustering algorithms have the drawback of getting stuck at local optima that depend on the random values of initial centroids. Optimization algorithms have their advantages in guiding iterative computation to search for global op
Externí odkaz:
https://doaj.org/article/1bc644d6d47a49e2a25ed7a237f9eb88
Publikováno v:
Journal of Applied Mathematics, Vol 2013 (2013)
Selecting the right set of features from data of high dimensionality for inducing an accurate classification model is a tough computational challenge. It is almost a NP-hard problem as the combinations of features escalate exponentially as the number
Externí odkaz:
https://doaj.org/article/1e04ad31b3d34dec9c332f64e6262a50
Publikováno v:
Neural Computing and Applications. 35:1053-1054
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6197de3bdc3ffa1dfa7137d830cbcae5
https://doi.org/10.1007/s00521-022-07955-2
https://doi.org/10.1007/s00521-022-07955-2
Publikováno v:
2021 8th International Conference on Soft Computing & Machine Intelligence (ISCMI)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f43aaa382546ee3f796dc546b3843cc2
https://doi.org/10.1109/iscmi53840.2021.9654830
https://doi.org/10.1109/iscmi53840.2021.9654830
Autor:
Iztok Fister, Suash Deb
Publikováno v:
ISMSI
Nowadays, the majority of data on the Internet is held in an unstructured format, like websites and e-mails. The importance of analyzing these data has been growing day by day. Similar to data mining on structured data, text mining methods for handli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9c67344da451f8f78d8f8ff6fd9351d
https://doi.org/10.1145/3396474.3396493
https://doi.org/10.1145/3396474.3396493
Publikováno v:
Future Generation Computer Systems. 88:571-585
One of the major challenges of solving Big Data optimization problems via traditional multi-objective evolutionary algorithms (MOEAs) is their high computational costs. This issue has been efficiently tackled by non-dominated sorting genetic algorith
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80ea547593a11c2033e6c461c2d9d72a
https://doi.org/10.1016/j.future.2018.06.008
https://doi.org/10.1016/j.future.2018.06.008
Publikováno v:
Neural Computing and Applications. 32:10833-10846
Preference time in a triathlon denotes the time that is planned to be achieved by an athlete in a particular competition. Usually, the preference time is calculated some days, weeks, or even months before the competition. Mostly, trainers calculate t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1545aab30a1299e1bca3424bc8317782
https://doi.org/10.1007/s00521-018-3632-9
https://doi.org/10.1007/s00521-018-3632-9
Publikováno v:
Cognitive Computation. 10:1085-1095
Many optimization problems in science and engineering are highly nonlinear, and thus require sophisticated optimization techniques to solve. Traditional techniques such as gradient-based algorithms are mostly local search methods, and often struggle
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c034aa0ea74ded45233947669b33a1e5
https://doi.org/10.1007/s12559-018-9579-4
https://doi.org/10.1007/s12559-018-9579-4