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This research introduces the Quantum Chimp Optimization Algorithm (QChOA), a pioneering methodology that integrates quantum mechanics principles into the Chimp Optimization Algorithm (ChOA). By incorporating non-linearity and uncertainty, the QChOA significantly improves the ChOA's exploration and exploitation capabilities. A distinctive feature of the QChOA is its ability to displace a 'chimp,' representing a potential solution, leading to heightened fitness levels compared to the current top search agent. Our comprehensive evaluation includes twenty- nine standard optimization test functions, thirty CEC-BC functions, the CEC06 test suite, ten real-world engineering challenges, and the IEEE CEC 2022 competition's dynamic optimization problems. Comparative analyses involve four ChOA variants, three leading quantum-behaved algorithms, three state-ofthe-art algorithms, and eighteen benchmarks. Employing three non-parametric statistical tests (Wilcoxon rank-sum, Holm-Bonferroni, and Friedman average rank tests), results show that the QChOA outperforms counterparts in 51 out of 70 scenarios, exhibiting performance on par with SHADE and CMA-ES, and statistical equivalence to jDE100 and DISHchain1e+12. The study underscores the QChOA's reliability and adaptability, positioning it as a valuable technique for diverse and intricate optimization challenges in the field. [ABSTRACT FROM AUTHOR]

This research delves into whether access to natural resources is a blessing or a curse, a matter of contention within contemporary literature. Lacking conclusive evidence, particularly within the G‐20 countries, this study endeavors to establish the intricate linkages between economic development, natural resources, and economic complexity. A subset of G‐20 economies from 1990 to 2021 was used to analyze the results of the second‐generation CS‐ARDL model. After accounting for variables like corruption, total labor force, gross capital formation, trade openness, and inflow of foreign direct investment, we find that natural resources, economic complexity, corruption and gross capital formation are significant and adverse predictors of economic growth. Natural resource dependence is susceptible to price fluctuations and sustainability concerns, economic complexity may introduce market volatility challenges, corruption erodes trust and transparency, and excessive gross capital formation can lead to economic imbalances. On the other hand, economic growth is positively impacted by the additional effects of the control variables, including foreign direct investment, trade openness and labor force. In crafting its policy recommendations, this study artfully weaves a tapestry that resonates with the core principles of the Sustainable Development Goals (SDGs). These strategic imperatives include the adept stewardship of resources, the cultivation of economic diversity, the seamless facilitation of trade, the fortification against corruption, and a harmonious symphony that underscores financial stability and the nurturing of human capital, ultimately painting a vivid portrait of sustainable economic growth. [ABSTRACT FROM AUTHOR]

In recent years, new energy vehicles, as a high-tech industry, have developed rapidly. This paper uses "number of new energy project personnel" and "hours of R&D (research and development) personnel" as design indicators to evaluate the investment of innovative talents in enterprises. This paper first introduces the supporting factors of the innovation environment in the input of innovation resources, and conducts research from four perspectives: human resources, innovation R&D, technology acquisition, and environmental support. In the construction of the innovation output index system, this paper outlines that the technological innovation (TI) achievements of enterprises are related to factors such as technological capabilities, profits, and market competitiveness of enterprises. Finally, this paper evaluates it from three aspects: the research and development achievements, the economic benefits obtained and the competitive benefits of the enterprise. The results show that from 2018 to 2022, the average technological innovation efficiency of new energy enterprises is 1.06; TI's efficiency indicators in the past five years are all above 1, and the overall improvement trend of TI is relatively stable. The new energy vehicle collaborative innovation system constructed in this paper will promote the overall development of the new energy vehicle industry., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Cao and Qian.)