Connectionists: [CFP] Special Session on Computational Intelligence applied to Sustainability @ EvoApps 2027 (EvoStar)

[Jamal Toutouh]

Dear Colleagues

We are happy to invite you to the Special Session in Computational
Intelligence applied to Sustainability, held as part of EvoApps 2027 at the
upcoming EvoStar 2027 conference (https://www.evostar.org/2027/).

The application of Computational Intelligence techniques to sustainability
is a fast-growing field, yielding innovative solutions in areas like wind
farm optimization, land use, water distribution, smart grids, and AI-driven
decision support in healthcare.

This special session seeks to bring together researchers and practitioners
to explore the latest advancements in applying Computational Intelligence
to sustainability, with a focus on methodologies that directly or
indirectly address one or more SDGs (https://sdgs.un.org/goals).

Topics of interest include, but are not limited to:

   -

   Renewable Energy Systems: Optimization of energy generation,
   distribution, and storage.
   -

   Smart Cities: Design and management of resilient, sustainable urban
   environments.
   -

   Agriculture and Food Security: Sustainable farming practices, precision
   agriculture, and food supply chain optimization.
   -

   Environmental Monitoring and Management: Applications in pollution
   control, conservation, and natural resource management.
   -

   Healthcare and Well-being: AI-driven diagnostics, telemedicine, and
   optimization of healthcare systems.
   -

   Water Resources Management: Efficient distribution, usage, and
   conservation of water resources.
   -

   Sustainable Manufacturing and Industry 4.0: Green manufacturing
   processes, waste reduction, and lifecycle assessment.
   -

   Risk Reduction and Management: Early warning systems for natural
   disasters, climate change risk assessment,  response optimization, and
   resilience building.
   -

   Circular Economy: Strategies for waste minimization, recycling, and
   sustainable product design.

We welcome original research, review articles, and case studies that
demonstrate the potential of Computational Intelligence to create
sustainable solutions and drive progress toward the SDGs. Contributions
that highlight interdisciplinary approaches and real-world implementations
are particularly encouraged.

More Information: https://www.evostar.org/2027/evoapps/cis/

Submission Details

   -

   Page limit: 14 pages, Springer LNCS format.
   -

   Submission link and details: https://www.evostar.org/2027/submit-paper/

Important Dates

   -

   Submission deadline: November 1, 2026 (AoE)
   -

   EvoStar 2027: March 31- April 2, 2027

Organisers

   -

   Valentino Santucci
   -

      University for Foreigners of Perugia, Italy
      -

      valentino.santucci(at)unistrapg.it
      -

   Fabio Caraffini
   -

      Swansea University, UK
      -

      Fabio.caraffini(at)swansea.ac.uk
      -

   Jamal Toutouh
   -

      University of Malaga, Spain
      -

      jamal(at)uma.es
      -

   Lucia Ballerini
   -

      University for Foreigners of Perugia, Italy
      -

      lucia.ballerini(at)unistrapg.it


—--

Prof. Jamal Toutouh

Tenured Professor

- University of Málaga – jamal at uma.es

🌐 website: jamal.es
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