As the global demand for computational resources continues to rise, so does the need for sustainable and eco-friendly computing solutions. Bioinspired algorithms—especially evolutionary algorithms and those inspired by complex systems—offer promising approaches for addressing key challenges in Green Computing. These nature-inspired methods excel in optimizing resource usage, energy efficiency, and minimizing environmental impact while maintaining high computational performance.
This special session aims to gather researchers and practitioners who apply bioinspired algorithms to solve sustainability problems, particularly in computing and resource management in complex systems, enabling more sustainable and eco-friendly computational processes. The session will provide a platform for exploring novel applications, theoretical advancements, and cross-disciplinary approaches at the intersection of computational intelligence and environmental responsibility. Contributions that address challenges related to reducing energy consumption, efficient hardware-software co-design, and the sustainable development of computational systems are encouraged.
Topics of Interest
- Energy-efficient evolutionary algorithms
- Green data center optimization
- Resource-efficient scheduling and task management
- Sustainable hardware-software co-design
- Eco-aware algorithmic design
- Adaptive power management and energy harvesting
- Network optimization for green computing
- Bioinspired solutions for circular computing
- Swarm intelligence for sustainable resource allocation
- Low-power AI and machine learning
- Green computing in embedded systems
- Evolutionary computation for environmental monitoring
Organisers
- Josefa Díaz Álvarez
University of Extremadura, Spain
mjdiaz(at)unex.es - Juan Luis Jimenez Laredo
University of Granada, Spain
juanlu(at)ugr.es”