Computational Intelligence for Sustainable Development
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Engineering and Science".
Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 8368
Special Issue Editor
Interests: artificial neural network; multi-criteria decision making; multi-criteria evaluation of technical systems; mechanical properties of biomaterials; biomass densification; agriculture engineering
Special Issue Information
Dear Colleagues,
Classic methods of computational intelligence (CI), such as artificial neural networks, fuzzy systems, and evolutionary computing, have been used by scientists for several decades, and the number of their applications increases every year. These methods have been and are used in virtually all areas of scientific research. There are also new methods of CI.
One of the tasks of modern science is to provide solutions that enable sustainable development in all its aspects. At the UN Sustainable Development Summit in 2015, the 2030 Agenda for Sustainable Development with the 17 Sustainable Development Goals was adopted.
The aim of this Special Issue is to collect the results of scientific research using CI and make them available to as many interested people as possible. The collected results are those which, using the methods of CI, enable the achievement of the 17 Sustainable Development Goals. Scientific articles can be either of a research or review nature.
The topics of the articles should mainly concern the following sustainable development goals:
Goal 2) Zero hunger (End hunger, achieve food security and improved nutrition and promote sustainable agriculture)
Goal 3) Good health and well-being (Ensure healthy lives and promote well-being for all at all ages)
Goal 6) Clean water and sanitation (Ensure availability and sustainable management of water and sanitation for all)
Goal 7) Affordable and clean energy (Ensure access to affordable, reliable, sustainable, and modern energy for all)
Goal 9) Industry, innovation, and infrastructure (Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation)
Goal 11) Sustainable cities and communities (Make cities and human settlements inclusive, safe, resilien,t and sustainable)
Goal 12) Responsible consumption and production (Ensure sustainable consumption and production patterns)
Goal 14) Life below water (Conserve and sustainably use the oceans, seas, and marine resources for
sustainable development)
Goal 15) Life and land (Protect, restore, and promote sustainable use of terrestrial ecosystems, sustainably manage forests, combat desertification, and halt and reverse land degradation and halt biodiversity loss)
Contributions containing both theoretical and practical results obtained in this area are welcome.
Prof. Sławomir Francik
Guest Editor
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Keywords
- Computational intelligence
- Artificial intelligence
- Artificial neural network
- Fuzzy theory
- Evolutionary computation
- Support vector machine
- Soft computing
- Machine learning
- Deep learning
- Data mining
- Decision support
- Operations research
- Modeling
- Simulation
- Optimization
- Sustainable manufacturing
- Sustainability in production
- Smart farming
- Smart agriculture
- Precision agriculture
- Forest management
- Precision forestry
- Renewable energy sources
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