Abstract
This paper presents a review of the existing publications using computational intelligence techniques in applications to sustainability development. Computational intelligence is the area that deals with the design and development of intelligent systems for diverse scopes of application. Sustainable development can be viewed as a way to achieve human development goals while simultaneously maintaining the ability of natural systems to offer natural resources and ecosystem services for the benefit of the economy and society. In this regard, it is natural to think that the computational intelligence area, which includes models like neural networks, fuzzy systems, and metaheuristics, will significantly impact achieving the goals of sustainable development. This review paper reveals that there has been some work in this area. We will provide up to date relevant statistics and analysis of the current work. In addition, we will outline possible future trends for research on applying intelligent systems to problems in sustainability development.
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Castillo, O., Melin, P. (2022). A Review on the Role of Computational Intelligence on Sustainability Development. In: Verdegay, J.L., Brito, J., Cruz, C. (eds) Computational Intelligence Methodologies Applied to Sustainable Development Goals. Studies in Computational Intelligence, vol 1036. Springer, Cham. https://doi.org/10.1007/978-3-030-97344-5_1
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