[1]ZHAO Shijie,ZHANG Tianran,MA Shilin,et al.Improved barnacles mating optimizer to solve high-dimensional continuous optimization problems[J].CAAI Transactions on Intelligent Systems,2023,18(4):823-832.[doi:10.11992/tis.202110022]

Improved barnacles mating optimizer to solve high-dimensional continuous optimization problems

[1] DARWISH A. Bio-inspired computing: algorithms review, deep analysis, and the scope of applications[J]. Future computing and informatics journal, 2018, 3(2): 231–246.
[2] AZIZI M, TALATAHARI S, GANDOMI A H. Fire Hawk optimizer: a novel metaheuristic algorithm[J]. Artificial intelligence review, 2023, 56(1): 287–363.
[3] SAYYADI R, AWASTHI A. A simulation-based optimisation approach for identifying key determinants for sustainable transportation planning[J]. International journal of systems science:operations & logistics, 2018, 5(2): 161–174.
[4] CHEN Jing, GAN Min, ZHU Quanmin, et al. Robust standard gradient descent algorithm for ARX models using aitken acceleration technique[J]. IEEE transactions on cybernetics, 2022, 52(9): 9646–9655.
[5] PENG Xingguang, JIN Yaochu, WANG Handing. Multimodal optimization enhanced cooperative coevolution for large-scale optimization[J]. IEEE transactions on cybernetics, 2019, 49(9): 3507–3520.
[6] GU Qinghua, LIU Yingyin, CHEN Lu, et al. An improved competitive particle swarm optimization for many-objective optimization problems[J]. Expert systems with applications, 2022, 189: 116118.
[7] DOUKAKIS E, DEBATTISTA K, BASHFORD-ROGERS T, et al. Audio-visual-olfactory resource allocation for tri-modal virtual environments[J]. IEEE transactions on visualization and computer graphics, 2019, 25(5): 1865–1875.
[8] HATEM N, YUSOF Y, KADIR A Z A, et al. A novel integrating between tool path optimization using an ACO algorithm and interpreter for open architecture CNC system[J]. Expert systems with applications, 2021, 178: 114988.
[9] 赵世杰, 高雷阜, 于冬梅, 等. 融合能量周期性递减与牛顿局部增强的改进HHO算法[J]. 控制与决策, 2021, 36(3): 629–636
ZHAO Shijie, GAO Leifu, YU Dongmei, et al. Improved Harris Hawks optimization coupling energy cycle decline mechanism and Newton local enhancement strategy[J]. Control and decision, 2021, 36(3): 629–636
[10] 赵世杰, 高雷阜, 于冬梅, 等. 基于变因子加权学习与邻代维度交叉策略的改进CSA算法[J]. 电子学报, 2019, 47(1): 40–48
ZHAO Shijie, GAO Leifu, YU Dongmei, et al. Improved crow search algorithm based on variable-factor weighted learning and adjacent-generations dimension crossover strategy[J]. Acta electronica sinica, 2019, 47(1): 40–48
[11] 赵世杰, 马世林, 王梦晨, 等. 群集正反向回溯人工生态系统优化算法的ELM超参优选[J]. 控制与决策, 2023, 38(4): 921–928
ZHAO Shijie, MA Shilin, WANG Mengchen, et al. Super parameter optimization of ELM by artificial ecosystem-based optimization with crowding forward-backward and backtracking tips[J]. Control and decision, 2023, 38(4): 921–928
[12] HASHIM F A, HOUSSEIN E H, MABROUK M S, et al. Henry gas solubility optimization: a novel physics-based algorithm[J]. Future generation computer systems, 2019, 101: 646–667.
[13] ARORA S, SINGH S. Butterfly optimization algorithm: a novel approach for global optimization[J]. Soft computing, 2019, 23(3): 715–734.
[14] DHIMAN G, KUMAR V. Seagull optimization algorithm: theory and its applications for large-scale industrial engineering problems[J]. Knowledge-based systems, 2019, 165: 169–196.
[15] HEIDARI A A, MIRJALILI S, FARIS H, et al. Harris Hawks optimization: algorithm and applications[J]. Future generation computer systems, 2019, 97: 849–872.
[16] XUE Jiankai, SHEN Bo. A novel swarm intelligence optimization approach: sparrow search algorithm[J]. Systems science & control engineering, 2020, 8(1): 22–34.
[17] FARAMARZI A, HEIDARINEJAD M, STEPHENS B, et al. Equilibrium optimizer: a novel optimization algorithm[J]. Knowledge-based systems, 2020, 191: 105190.
[18] HASHIM F A, HUSSAIN K, HOUSSEIN E H, et al. Archimedes optimization algorithm: a new metaheuristic algorithm for solving optimization problems[J]. Applied intelligence, 2021, 51(3): 1531–1551.
[19] ZHAO Shijie, ZHANG Tianran, MA Shilin, et al. Dandelion optimizer: a nature-inspired metaheuristic algorithm for engineering applications[J]. Engineering applications of artificial intelligence, 2022, 114: 105075.
[20] ZHAO Shijie, ZHANG Tianran, MA Shilin, et al. Sea-horse optimizer: a novel nature-inspired meta-heuristic for global optimization problems[J]. Applied intelligence, 2023, 53(10): 11833–11860.
[21] SULAIMAN M H, MUSTAFFA Z, SAARI M M, et al. Barnacles mating optimizer: a new bio-inspired algorithm for solving engineering optimization problems[J]. Engineering applications of artificial intelligence, 2020, 87: 103330.
[22] CROW J F. Hardy, Weinberg and language impediments[J]. Genetics, 1999, 152(3): 821–825.
[23] MANTEGNA R N. Fast, accurate algorithm for numerical simulation of Lévy stable stochastic processes[J]. Physical review E, statistical physics, plasmas, fluids, and related interdisciplinary topics, 1994, 49(5): 4677–4683.
[24] HERDIANTI W, GUNAWAN A A S, KOMSIYAH S. Distribution cost optimization using pigeon inspired optimization method with reverse learning mechanism[J]. Procedia computer science, 2021, 179: 920–929.
[25] MOHAMMADI-BALANI A, DEHGHAN NAYERI M, AZAR A, et al. Golden eagle optimizer: a nature-inspired metaheuristic algorithm[J]. Computers & industrial engineering, 2021, 152: 107050.
Similar References:



Last Update: 1900-01-01

Copyright © CAAI Transactions on Intelligent Systems