Shao, Z.Y., Pan, J.S., Hu, P., Chu, S.C.: Equilibrium optimizer of interswarm interactive learning strategy. Xi, J., Chen, Y., Liu, X., Chen, X.: Whale optimization algorithm based on nonlinear adjustment and random walk strategy (2022) Wang, J., Pan, B., Wang, Q.R., Ding, Q.: A chaotic key expansion algorithm based on genetic algorithm. Wu, C.M., Gong, H.Q., Yang, J.H., Song, Q.H., Wang, Y.J.: An improved FOA to optimize GRNN method for wind turbine fault diagnosis. Xue, X., Chen, J., Chen, D.: Matching biomedical ontologies through compact hybrid evolutionary algorithm. Zhou, J.L., Chu, S.C., Tian, A.Q., Peng, Y.J., Pan, J.S.: Intelligent neural network with parallel salp swarm algorithm for power load prediction. Wu, J., Xu, M., Liu, F.F., Huang, M., Ma, L., Lu, Z.M.: Solar wireless sensor network routing algorithm based on multi-objective particle swarm optimization. Pan, J.S., Nguyen, T.L.P., Ngo, T.G., Dao, T.K., Nguyen, T.T.T., Nguyen, T.T.: An optimizing cross-entropy thresholding for image segmentation based on improved cockroach colony optimization. Nguyen, T.T., Qiao, Y., Pan, J.S., Dao, T.K., Nguyen, T.T.T., Weng, C.J.: An improvement of embedding efficiency for watermarking based on genetic algorithm. Jaddi, N.S., Abdullah, S.: Optimization of neural network using kidney-inspired algorithm with control of filtration rate and chaotic map for real-world rainfall forecasting. Zhao, W., Wang, L., Mirjalili, S.: Artificial hummingbird algorithm: A new bioinspired optimizer with its engineering applications.
Pan, J.S., Zhang, L.G., Wang, R.B., Sn´aˇsel, V., Chu, S.C.: Gannet optimization algorithm: A new metaheuristic algorithm for solving engineering optimization problems. Heidari, A.A., Mirjalili, S., Faris, H., Aljarah, I., Mafarja, M., Chen, H.: Harris hawks optimization: Algorithm and applications. In: 2020 2nd international conference on industrial artificial intelligence (IAI), pp. Song, P.C., Chu, S.C., Pan, J.S., Yang, H.: Phasmatodea population evolution algorithm and its application in length-changeable incremental extreme learning machine. 191, 105,190 (2020)Ībualigah, L., Yousri, D., Abd Elaziz, M., Ewees, A.A., Al-Qaness, M.A., Gandomi, A.H.: Aquila optimizer: a novel meta-heuristic optimization algorithm. 96, 120–133 (2016)įaramarzi, A., Heidarinejad, M., Stephens, B., Mirjalili, S.: Equilibrium optimizer: A novel optimization algorithm. Mirjalili, S.: Sca: a sine cosine algorithm for solving optimization problems.
#Best sound reference tsai chin free
Wolpert, D.H., Macready, W.G.: No free lunch theorems for optimization. In: 2009 World congress on nature & biologically inspired computing (NaBIC), pp. Yang, X.S., Deb, S.: Cuckoo search via l´evy flights. IEEE (1995)ĭorigo, M., Maniezzo, V., Colorni, A.: Ant system: optimization by a colony of cooperating agents. In: Proceedings of ICNN’95-international conference on neural networks, vol. Kennedy, J., Eberhart, R.: Particle swarm optimization. Xu, L., Li, T.J., Ling, Y.F., Lu, J., Cai, Z.M.: Gsgc: An improved path planning optimization. Kumari, A., Kumar, V., Abbasi, M.Y., Kumari, S., Chaudhary, P., Chen, C.M.: Csef: cloud-based secure and efficient framework for smart medical system using ecc. Kang, L., Chen, R.S., Xiong, N., Chen, Y.C., Hu, Y.X., Chen, C.M.: Selecting hyper-parameters of gaussian process regression based on non-inertial particle swarm optimization in internet of things. Kang, L., Chen, R.S., Chen, Y.C., Wang, C.C., Li, X., Wu, T.Y.: Using cache optimization method to reduce network traffic in communication systems based on cloud computing. Zhang, F., Wu, T.Y., Wang, Y., Xiong, R., Ding, G., Mei, P., Liu, L.: Application of quantum genetic optimization of lvq neural network in smart city traffic network prediction.
0 kommentar(er)
