References
- Aggarwal CC. 2018. Neural networks and deep learning. Springer. 10:978–973.
- Ahmadianfar I, Heidari AA, Noshadian S, Chen H, Gandomi AH. 2022. INFO: an efficient optimization algorithm based on weighted mean of vectors. Expert Syst Appl. Volume 195(116516). doi:10.1016/j.eswa.2022.116516.
- Amat M, Tahiti N, Shanyang X. 2020. Evaluation on the development trend of population farmland grain system. Stat Decis. 36(3):63–66. 1002-6487.
- Amat M, Tao S, Shanyang X. 2014. Coupling evolution analysis of urbanization and ecological environment change. J Tianjin Univ Commer. 34(4):58–62. 10.15963.
- Barabási A-L, Menichetti G, Loscalzo J. 2020. The unmapped chemical complexity of our diet. Nat Food. 1(1):33–37.
- Battisti DS, Naylor RL. 2009. Historical warnings of future food insecurity with unprecedented seasonal heat. Science. 323(5911):240–244.
- Brown ME, Funk CC. 2008. Food security under climate change. Science. 319:580–581.
- Butcher JC. 1976. On the implementation of implicit Runge-Kutta methods. BIT Numer Math. 16(3):237–240.
- Caswell JA. 1997. Rethinking the role of government in agri-food markets. Am J Agric Econ. 79(2):651–656.
- Çelik E, Öztürk N, Arya Y. 2021. Advancement of the search process of salp swarm algorithm for global optimization problems. Expert Syst Appl. 182:115292.
- Cherkassky V, Ma Y. 2004. Practical selection of SVM parameters and noise estimation for SVM regression. Neural Netw. 17(1):113–126.
- Christopher M. 2005. Logistics and supply chain management: creating value-adding networks, 3rd ed. Harlow: Financial Times/Prentice Hall.
- Clerc M, Kennedy J. 2002. The particle swarm-explosion, stability, and convergence in a multidimensional complex space. IEEE Trans Evol Comput. 6(1):58–73.
- Cui H, Guan Y, Chen H, Deng W. 2021. A novel advancing signal processing method based on coupled multi-stable stochastic resonance for fault detection. Appl Sci. 11(12):5385.
- Dahl M, DeLeire T, Mok S. 2014. Food insufficiency and income volatility in US households: The effects of imputed income in the survey of income and program participation. Appl Econ Perspect Policy. 36(3):416–437.
- Deng W, Zhang X, Zhou Y, Liu Y, Zhou X, Chen H, Zhao H. 2022. An enhanced fast non-dominated solution sorting genetic algorithm for multi-objective problems. Inf Sci (Ny). 585:441–453.
- Elbakian A, Sentyakov B, Božek P, Kuric I, Sentyakov K. 2018. Automated separation of basalt fiber and other earth resources by the means of acoustic vibrations. Acta Montan Slovaca. 23(3):271–281.
- Feng Z, Zhao X, Yang Y. 2010. Evolutionary trends of world cereal trade-in recent 50 years from a view of spatial-temporal patterns and regional differences. Resour Sci. 32:2–10.
- Food and Agriculture Organization. 2021. The COVID-19 pandemic sets back efforts to achieve Agenda 2030. Available at.https://www.fao.org/sustainable-development-goals/news/detail-news/en/c/1440480/.
- Food and Agriculture Organization. 2021. Sustainable Development Goals. Available at.https://www.fao.org/sustainable-development-goals/indicators/212/en/.
- Godfray HCJ, Beddington JR, Crute IR, Haddad L, Lawrence D, Muir JF, Pretty J, Robinson S, Thomas SM, Toulmin C. 2010. Food security: the challenge of feeding 9 billion people. Science. 327(5967):812–818.
- Heidari AA, Mirjalili S, Faris H, Aljarah I, Mafarja M, Chen H. 2019. Harris hawks optimization: algorithm and applications. Future Gener Comput Syst. 97:849–872.
- Huang GB, Zhou H, Ding X, Zhang R. 2011. Extreme learning machine for regression and multiclass classification. IEEE Trans Syst Man Cybern, Part B. 42(2):513–529.
- Johansen S. 1991. Estimation and hypothesis testing of cointegration vectors in Gaussian vector autoregressive models. Econometrica: J Economet Soc. 59:1551–1580.
- Li S, Chen H, Wang M, Heidari AA, Mirjalili S. 2020. Slime mould algorithm: A new method for stochastic optimization. Future Gener Comput Syst. 111:300–323.
- Liaposhchenko O, Pavlenko I, Ivanov V, Demianenko M, Starynskyi O, Kuric I, Khukhryanskiy O. 2019. April. Improvement of parameters for the multi-functional oil-gas separator of “heater-treater” type. In: Sheyhuei Sheu , George Zhang, editors. 2019 IEEE 6th International conference on industrial Engineering and Applications (ICIEA) (pp. 66–71. doi: 10.1109/IEA.2019.8715203.Tokyo , Japan: IEEE.
- Mirjalili S, Gandomi AH, Mirjalili SZ, Saremi S, Faris H, Mirjalili SM. 2017. Salp Swarm Algorithm: a bio-inspired optimizer for engineering design problems. Adv Eng Softw. 114:163–191.
- Mirjalili S, Lewis A. 2016. The whale optimization algorithm. Adv Eng Softw. 95:51–67.
- Nuraliev SU. 2017. Food security and trade-marketing policy in the context of globalization. Ekonomika Sel'skokhozya stvennykh i Pererabatyvayushchikh Predpriyati. 64(1):9–12.
- Nuraliev SU. 2019. Trade and economic policy and its role in ensuring the financial and food security of the country. Ekonomika Sel'skokhozyaistvennykh i Pererabatyvayushchikh Predpriyatii. 5:22–25.
- Puma MJ. 2019. The resilience of the global food system. Nat Sustain. 2(4):260.
- Ran X, Zhou X, Lei M, Tepsan W, Deng W. 2021. A novel k-means clustering algorithm with a noise algorithm for capturing urban hotspots. Appl Sci. 11(23):11202.
- Rasmussen CE. 2003. Gaussian processes in machine learning. In: O. Bousquet, editor. Summer school on machine learning. Berlin, Heidelberg: Springer; p. 63–71.
- Rodriguez C, Crowder SL, Rodriguez M, Redwine L, Stern M. 2021. Food insecurity and the hispanic population during the COVID-19 pandemic. Ecol Food Nutr. 60(5):548–563.
- Schmidhuber J. 2015. Deep learning in neural networks: An overview. Neural Netw. 61:85–117.
- Seeger M. 2004. Gaussian processes for machine learning. Int J Neural Syst. 14(02):69–106.
- Smith GR, Archer R. 2020. Climate, population, food security: adapting and evolving in times of global change. Int J Sustain Dev World-Ecol. 27(5):419–423.
- Taheripour F, Tyner W. 2011. Introducing First and Second Generation Biofuels into GTAP Data Base version 7. GTAP Research Memoranda, GTAP Research Memo-randa 3477. Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University.
- Tu J, Chen H, Wang M, Gandomi AH. 2021. The colony predation algorithm. J Bionic Eng. 18(3):674–710.
- ul Haq Z. 2013. Does income and income distribution determine global food and beverage products trade? Agribusiness. 29(4):509–523.
- United Nations. 2015. Resolution adopted by the General Assembly on 25 September 2015. UN General Assembly. Available at:https://sustainabledevelopment.un.org/content/documents/21252030%20Agenda%20for%20Sustainable%20Development%20web.pdf.
- United Nations World Food Programme. 2019. http://www.fao.org/food-systems/our-priorities/en/.
- Wang GG, Deb S, Cui Z. 2019. Monarch butterfly optimization. Neural Comput Appl. 31(7):1995–2014.
- Wang G G. 2018. Moth search algorithm: a bio-inspired metaheuristic algorithm for global optimization problems. Memetic Comput. 10(2):151–164.
- Wei J, Xinping L. 2017. Analysis of Spatial-Temporal Pattern and driving forces of grain per capper in Dufu Tarim River Basin: based on the county local perspective of bayingolin Mongolian autonomous prefecture. Agr Resour Regional Plann China. 38(8):967–973.
- Wu EQ, Zhou M, Hu D, Zhu L, Tang Z, Qiu XY, … Ren H. 2020. Self-paced dynamic infinite mixture model for fatigue evaluation of pilots’ brains. IEEE Trans Cybern. 99:1–16.
- Wu W, Tang H, Yang P, You L, Zhou Q, Chen Z, Shiba-saki R. 2011. Scenario-based assessment of future food security. J Geog Sci. 21:3–17.
- Yang Y, Chen H, Heidari AA, Gandomi AH. 2021. Hunger games search: visions, conception, implementation, deep analysis, perspectives, and towards performance shifts. Expert Syst Appl. 177:114864.
- Yiqing H, Xing Y, Xiya P, et al. 2016. Spatial and temporal coordination of population cultivated land and grain complex system in the Yangtze River economic belt. J Nanchang Univ (Science Edition). 40(4):18–21.
- Zhang ZH, Min F, Chen GS, Shen SP, Wen ZC, Zhou XB. 2021. Tri-Partition State alphabet-based sequential pattern for multivariate time series. Cognit Comput. 2021:1–19. doi:10.1007/s12559-021-09871-4.