Computational Intelligence Methodologies Applied to Sustainable Development Goals

Part 1: Computational Intelligence and SDG.- A review on the role of computational intelligence on sustainability development.- Fuzzy linguistic summaries for human centric analyses of sustainable development goals (SDG) related to technological innovations.- Impact of Human-Computer Interaction in the Global Sustainable Development Goals.- Part 2: Health control models.- Investigating the key parameters affecting sustainable IoT-based marketing.- Applications of computational intelligence in the studies of Covid-19.- Quantification of ASF introduction risk using OWA operators.- An optimization model for location-allocation of health services under uncertainty.- Computational Intelligence and Tikhonov Regularization with Reduced Dimension Model: Applications in Health, Renewable Energy and Climate Heat Transfer Inverse Problems.- Part 3: Emission control models.- Intelligent collaborative freight distribution to reduce greenhouse gas emissions: a review.- Pressure Sensor Placement for Leak Location in Zones of a WDN.- Forecasting tropospheric ozone concentrations using deep neural networks and wavelets: a case study of a tropical coastal-urban area in Brazil.- Power Curve Estimation of Wind Farms with Imprecise Data by Fuzzy Quadratic Programming.- Effect of the growth of carbon emissions as a function of GDP per capita and its relationship with the SDG in american and european countries: An application of neural networks.- Part 4: Transportation and distribution models.- A fuzzy approach for organizational transportation aligned with the Sustainable Development Goals: health promotion, inequality reduction, and responsible consumption.- A VND to Solve the Bi-objective Tourist Trip Design Problem with Fuzzy Constraints and Reducing CO2.- A Multi-Objective Solid Transportation Problem in Sustainable Development.- On the Generation of Alternative Solutions for a Perishable Food Distribution Problem.- Solving two-stage multi-objective transportation problem using goal programming and its application to sustainable development.