Biomimicry and Computational Intelligence in Energy Sustainability

This series examines the integration of biomimicry—leveraging nature-inspired strategies—with computational intelligence to drive advancements in sustainable energy. It focuses on the application of bio-inspired algorithms, materials, and system designs in conjunction with AI, machine learning, and evolutionary computing to tackle challenges in clean energy generation, optimization, storage, and distribution. By bridging disciplines, the series combines foundational theory with cutting-edge research, case studies, and prototyping, offering a comprehensive resource for academia, industry professionals, and policymakers.