Zhencheng Li and Li Zhang
[1] P. Kumar, S.H. Lai, N.S. Mohd, M.R. Kamal, A.N. Ahmed, M.Sherif, and A. El-Shafie, Enhancement of nitrogen predictionaccuracy through a new hybrid model using ant colonyoptimization and an Elman neural network, EngineeringApplications of Computational Fluid Mechanics, 15(1), 2021,1843–1867. [2] L.S. Hasan, Artificial Bee colony algorithm and bat algorithmfor solving travel salesman problem, Webology, 19(1), 2022,4185–4193. [3] J.W. Bi, C. Li, H. Xu, and H. Li, Forecasting daily tourismdemand for tourist attractions with Big Data: An ensembledeep learning method, Journal of Travel Research, 61(8), 2022,1719–1737. [4] H. Tian, Research on robot optimal path planning methodbased on improved ant colony algorithm, InternationalJournal of Computing Science and Mathematics, 13(1), 2021,80–92. [5] P.J. Vasovala, M.I. Mirchiwala, V. Mayank, and V.H. Ghanchi,Application of ant colony optimization technique in economicload dispatch of IEEE-26 bus system with valve point loading,International Journal for Research in Applied Science &Engineering Technology, 9(1), 2021, 51–58. [6] A. Kumar, Reinforcement learning: Application and advancestowards stable control strategies, Mechatronic Systems andControl, 51(1), 2023, 53–57. [7] L. Liu and L. Chen, Research progress about deep reinforcementlearning, Mechatronic Systems and Control, 51(4), 2023,210–217. [8] T. Sontayasara, S. Jariyapongpaiboon, A. Promjun, N.Seelpipat, K. Saengtabtim, J. Tang, and N. Leelawat, Twittersentiment analysis of Bangkok tourism during COVID-19pandemic using support vector machine algorithm, Journal ofDisaster Research, 16(1), 2021, 24–30. [9] S. Forouzandeh, M. Rostami, and K. Berahmand, A hybridmethod for recommendation systems based on tourism with anevolutionary algorithm and topsis model, Fuzzy Informationand Engineering, 14(1), 2022, 26–50. [10] R. Beed, A. Roy, S. Sarkar, and D. Bhattacharya, Ahybrid multi-objective tour route optimization algorithmbased on particle swarm optimization and artificial beecolony optimization, Computational Intelligence, 36(3), 2020,884–909. [11] L. Niu and L. Xiong, Optimisation and application research ofant colony algorithm in vehicle routing problem, InternationalJournal of Computing Science and Mathematics, 13(2), 2021,177–193. [12] H. Khudov, O. Oleksenko, V. Lukianchuk, V. Herasymenko, Y.Yaroshenko, O. Ishchenko, and I. Khizhnyak, The determiningthe flight routes of unmanned aerial vehicles groups basedon improved ant colony algorithms, International Journal ofEmerging Technology and Advanced Engineering, 11(9), 2021,23–32. [13] S. Meishan, Design of intelligent planning system for touristscenic route based on ant colony algorithm, InternationalJournal of Industrial and Systems Engineering, 39(3), 2021,377–393. [14] L.Q. Nguyen, P.O. Fernandes, and J.P. Teixeira, Analyzing andforecasting tourism demand in Vietnam with artificial neuralnetworks, Forecasting, 4(1), 2022, 36–50.173 [15] Y. Li, R. Zhou, F. Liang, H. Ding, G. Ma, and H.Wang, Application research of cloud computing in electricitymarketing field measurement remote acquisition system,Mechatronic Systems and Control, 50(1), 2022, 55–60. [16] N. Wang, Application of DASH client optimization and artificialintelligence in the management and operation of big datatourism hotels, Alexandria Engineering Journal, 61(1), 2022,81–90. [17] A.T. Sadiq, F.A. Raheem, and N. Abbas, Ant colony algorithmimprovement for robot arm path planning optimization basedon D strategy, International Journal of Mechanical &Mechatronics Engineering, 21(1), 2021, 96–111. [18] S. Se¸ckiner, A.M. Shumye, and S. Ge¸cer, Minimizing solidwaste collection routes using ant colony algorithm: A casestudy in Gaziantep district, Journal of Transportation andLogistics, 6(1), 2021, 29–47. [19] W. He, S. Meng, J. Wang, L. Wang, R. Pan, and W. Gao,Weaving scheduling based on an improved ant colony algorithm,Textile Research Journal, 91(5–6), 2021, 543–554. [20] M. Bouzid, I. Alaya, and M. Tagina, A new artificial bee colonyalgorithm using a gradual weight method for the bi-objectivetraveling salesman problems, Evolutionary Intelligence, 15(3),2022, 2077–2088. [21] W. Gao, Modified ant colony optimization with improved tourconstruction and pheromone updating strategies for travelingsalesman problem, Soft Computing, 25(4), 2021, 3263–3289.
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