Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Kyle Erwin"'
Autor:
Kyle Erwin, Andries Engelbrecht
Publikováno v:
Entropy, Vol 25, Iss 7, p 1000 (2023)
Machine learning algorithms are frequently used for classification problems on tabular datasets. In order to make informed decisions about model selection and design, it is crucial to gain meaningful insights into the complexity of these datasets. Fe
Externí odkaz:
https://doaj.org/article/d7a855c019794ca6bc37780a47556919
Autor:
Kyle Erwin, Andries Engelbrecht
Publikováno v:
Algorithms, Vol 16, Iss 2, p 62 (2023)
Portfolio optimization is a multi-objective optimization problem (MOOP) with risk and profit, or some form of the two, as competing objectives. Single-objective portfolio optimization requires a trade-off coefficient to be specified in order to balan
Externí odkaz:
https://doaj.org/article/1dba14836dc6446886705dfbdb70e60d
Autor:
Kyle Erwin, Andries Engelbrecht
Publikováno v:
Soft Computing.
Portfolio optimization has been studied extensively by researchers in computer science and finance, with new and novel work frequently published. Traditional methods, such as quadratic programming, are not computationally effective for solving comple
Autor:
PR Newswire
Publikováno v:
PR Newswire US. 06/21/2017.
Autor:
Kyle Erwin, Andries Engelbrecht
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031096761
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7dc17cefecbc89aa28b43c8ba7755185
https://doi.org/10.1007/978-3-031-09677-8_3
https://doi.org/10.1007/978-3-031-09677-8_3
Autor:
Kyle Erwin, Andries Engelbrecht
Publikováno v:
2021 IEEE Symposium Series on Computational Intelligence (SSCI).
Autor:
Kyle Erwin, Andries Engelbrecht
Publikováno v:
2021 IEEE Symposium Series on Computational Intelligence (SSCI).
Autor:
Kyle Erwin, Andries P. Engelbrecht
Publikováno v:
SSCI
Recently, a set-based particle swarm optimization algorithm was proposed for portfolio optimization. The algorithm used a bi-stage search process that first selected assets and then determined the weights for said assets. Unlike other approaches befo
Autor:
Andries P. Engelbrecht, Kyle Erwin
Publikováno v:
2020 7th International Conference on Soft Computing & Machine Intelligence (ISCMI).
The diversity of agents moving through a search space gives researchers insight into a heuristic’s ability to explore and exploit the search space. Much of the work done on measuring diversity has focused on heuristics for continuous search spaces.
Publikováno v:
Journal of Religion & Spirituality in Social Work: Social Thought. 37:395-413
This article contributes new information to the literature on the role of spirituality in the lives of HIV positive African American women. Spirituality has been found to have a direct rela...