Modeling and Simulation of Market Opportunities in Digital Economy Based on Artificial Bee Colony Algorithm
Author:
Affiliation:
1. School of Finance and Economics, Guangdong University of Science and Technology, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3675417.3675454
Reference9 articles.
1. . D. U. Marsetiya T. F.Aulya A. G. 2021. Kesy Artificial Bee Colony Algorithm for Solving Green Vehicle Routing Problems with Time Windows. (1)1933.
2. .Á M. Gutiérrez R..Andrade G.Rincó. A E Delos-Cobos G S.Silva 2019. Simulated Annealing and Artificial Bee Colony for the Redistricting Process in Mexico. (3). 49.
3. S.Sharifi M. Sedaghat P.Farhadi P 2017. Environmental economic dispatch using improved artificial bee colony algorithm]. (3).233-242. .
4. . M. Boopathi R Sujatha S.C. Kumar 2017. Quantification of Software Code Coverage Using Artificial Bee Colony Optimization Based on Markov Approach [J]. Arabian Journal for Science and Engineering. 42 \ (8).3503-3519.
5. .Y. F M. 2022. On the sidelines of GITEX Africa Elm signs Memorandum of Understanding (MoU) with Ministry of Digital Economy and Telecommunications of Central African Republic to drive digital transformation and business opportunities.China Daily 19 December 2020 page 3
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