Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Ze-Xue Wu"'
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 16, Iss 1, Pp 1-16 (2023)
Abstract Metaheuristic algorithms are novel optimization algorithms often inspired by nature. In recent years, scholars have proposed various metaheuristic algorithms, such as the genetic algorithm (GA), artificial bee colony, particle swarm optimiza
Externí odkaz:
https://doaj.org/article/34abdf73323c40d39fa91162571cc899
Publikováno v:
IEEE Access, Vol 7, Pp 80950-80968 (2019)
Data clustering is a well-known data analysis technique for organizing unlabeled datapoints into clusters on the basis of similarity measures. The real-world applications of data clustering include bioinformatics, vector quantization, data mining, ge
Externí odkaz:
https://doaj.org/article/b0000fa566ce4e30a640935eed1a0170
Autor:
Ko-Wei Huang, Ze-Xue Wu
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 12, Iss 1 (2018)
Particle swarm optimization (PSO) is the most well known of the swarm-based intelligence algorithms and is inspired by the social behavior of bird flocking. However, the PSO algorithm converges prematurely, which rapidly decreases the population dive
Externí odkaz:
https://doaj.org/article/73e948fe207f42cfa865980d5139e081
Publikováno v:
Applied Sciences, Vol 9, Iss 7, p 1353 (2019)
The permutation flow shop scheduling problem (PFSP) is a renowned problem in the scheduling research community. It is an NP-hard combinatorial optimization problem that has useful real-world applications. In this problem, finding a useful algorithm t
Externí odkaz:
https://doaj.org/article/c6d165fdec0f45faa68ca881b5a932b6
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
IEEE Access, Vol 7, Pp 80950-80968 (2019)
Data clustering is a well-known data analysis technique for organizing unlabeled datapoints into clusters on the basis of similarity measures. The real-world applications of data clustering include bioinformatics, vector quantization, data mining, ge
Publikováno v:
Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices ISBN: 9783030557881
IEA/AIE
IEA/AIE
The crow is one of the most intelligent bird and infamous for observing other birds so that they can steal their food. The crow search algorithm (CSA), a nature-based optimizer, is inspired by the social behavior of crows. Scholars have applied the C
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d06143f628640fc18da38285edfed9dd
https://doi.org/10.1007/978-3-030-55789-8_67
https://doi.org/10.1007/978-3-030-55789-8_67
Publikováno v:
CEC
Data clustering is a well-known data analysis methodology in the optimization community that can be formulated as a Np-hard problem. The main concept of the clustering procedure is to identify and assign data objects into sensible disjointed groups b
Publikováno v:
TAAI
Data clustering is a well-known data mining approach that usually used to minimizes the intra distance but maximizes inter distance of each data center. The cluster problem has been proved to be an NP-hard problem. In this paper, a hybrid algorithm b
Publikováno v:
2018 IEEE International Conference on Applied System Invention (ICASI).
Significant objects can be obtained from the gray or color images via image segmentation by referring to the clustering problem. Inspired by the search strategy of GSA and the rapid convergence of PSO, this study proposes a memetic particle gravitati