Akademik Veri Yönetim Sistemi
All Sciences Academy, Ankara, 2025
This book comprehensively examines the fundamental role played by meta- heuristic algorithms in applications related to Sustainable Development Goal 13: Climate Action. Today, energy efficiency, reduction of carbon footprints, environmental management, and sustainable production processes have become complex multi-criteria decision-making problems. In this context, meta-heuristic algorithms provide powerful tools for solving these problems, thanks to their flexible structures and high solution capabilities. The book explores the applications of popular algorithms, such as Genetic Algorithms, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization, and Artificial Bee Colony, along with new hybrid and nature- inspired methods, in the context of climate action. Additionally, it highlights the contributions of meta-heuristic approaches in areas such as energy system optimization, supply chain sustainability, carbon capture technologies, and smart city planning. This book offers a computational intelligence-based perspective for researchers, engineers, academics, and policymakers in strategic planning and policy development processes aimed at addressing climate change.