Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Aderemi E. Okeyinka"'
Publikováno v:
2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG).
Autor:
Emmanuel O. Asani, Oladapo Daniel Akande, Esther Edeghogho Okosun, Oluwambo Tolulope Olowe, Roseline Oluwaseun Ogundokun, Aderemi E. Okeyinka
Publikováno v:
2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG).
Publikováno v:
Proceedings of Sixth International Congress on Information and Communication Technology ISBN: 9789811621017
Proceedings of Sixth International Congress on Information and Communication Technology
Proceedings of Sixth International Congress on Information and Communication Technology
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a70c9e6605bc4aa10deee910ceb0d20
https://doi.org/10.1007/978-981-16-2102-4_60
https://doi.org/10.1007/978-981-16-2102-4_60
Publikováno v:
2020 International Conference in Mathematics, Computer Engineering and Computer Science (ICMCECS).
The branch - and - bound strategy has been used successfully in solving certain categories of combinatorial optimization problems. It has also been viewed as a tool for solving Travelling Salesman Problem (TSP) of moderate size. In this paper a TSP o
Publikováno v:
2020 International Conference in Mathematics, Computer Engineering and Computer Science (ICMCECS).
This study presents a construction tour technique (CH-NN) for solving the Travelling Salesman Problem based on the Convex-hull and Nearest Neighbor heuristics. The aim is to combine the advantages of both algorithms as well as minimize their substant
Publikováno v:
2020 International Conference in Mathematics, Computer Engineering and Computer Science (ICMCECS).
The minimal spanning tree is a structure used in solving certain types of combinatorial optimization problems. Popular application areas include network design such as roads, telephone, electrical and cable-laying. There are two popular algorithms fo
Publikováno v:
2020 International Conference in Mathematics, Computer Engineering and Computer Science (ICMCECS).
Modelling and forecasting of time series data are essential components of data science and big data analytics. Over the years, the Box-Jenkins Methodology has gained tremendous popularity and use for modelling univariate time series. However, the plo