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无免费午餐定理:取自水资源规划与管理的计算智能领域。

No-free-lunch-theorem: a page taken from the computational intelligence for water resources planning and management.

作者信息

Zolghadr-Asli Babak

机构信息

Sustainable Minerals Institute, The University of Queensland, Brisbane, Australia.

The Centre for Water Systems, University of Exeter, Exeter, UK.

出版信息

Environ Sci Pollut Res Int. 2023 Apr;30(20):57212-57218. doi: 10.1007/s11356-023-26300-1. Epub 2023 Mar 25.

Abstract

The long pursuit to alleviate the global water crisis has been riddled with revolutionary decision-making paradigms, forward-thinking theoretical concepts, and even ground-breaking technologies. This journey, however, is centered around the expectation of discovering what could be seen as the ultimate solution to all water-related problems. These nuances, revolutionary ideas, and cutting-edge technologies raise an ostensibly simple but fundamentally crucial question: Is there or can there ever be a singular universal ideal solution to address the water resources crisis that can potentially ensure the ideas of the sustainable development paradigm? This paper tends to take inspiration from the well-established no-free-lunch theorem (NFLT) to refute the possibility of such a solution in the context of water resources management. Such an interpretation also emphasizes that any remedy intended to address water resources issues must be tailored to the particular circumstances of each case. However, it should be noted that these findings are not intended to undermine the importance of current approaches but rather to emphasize how these concepts or technologies should be used as an inspiration to curate an ad hoc version of the said solution that can reflect local requirements or constraints.

摘要

长期以来,为缓解全球水危机所做的努力充斥着革命性的决策模式、前瞻性的理论概念,甚至还有突破性的技术。然而,这段历程围绕着一个期望展开,即探寻被视为解决所有与水相关问题的终极方案。这些细微差别、革命性理念和前沿技术引发了一个表面看似简单但根本上至关重要的问题:是否存在或能否有一个单一的通用理想解决方案来应对水资源危机,从而有可能确保可持续发展范式的理念得以实现?本文倾向于从已确立的无免费午餐定理(NFLT)中汲取灵感,以驳斥在水资源管理背景下存在此类解决方案的可能性。这种解读还强调,任何旨在解决水资源问题的补救措施都必须根据每个案例的具体情况量身定制。然而,应当指出的是,这些发现并非旨在削弱当前方法的重要性,而是强调应如何将这些概念或技术用作灵感,以精心策划一个能反映当地需求或限制的上述解决方案的特定版本。

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