This book presents cutting-edge research in engineering optimization and architectural design, focusing on the integration of machine learning and additive manufacturing. The proceedings gather contributions from the 1st International Conference on ADDitively Manufactured OPTimized Structures by means of Machine Learning (ADDOPTML), held in Amman, Jordan, in October 2024. It explores a wide array of topics including ML-based design for civil structures, optimized structural elements through additive manufacturing, and various programming and algorithmic approaches. The selected papers, rigorously peer-reviewed, aim to stimulate new research avenues and interdisciplinary cooperation.

This collection of papers, stemming from a rigorous international peer-review process, offers significant insights into the application of machine learning and advanced manufacturing techniques in engineering and architecture. The contributions are expected to be of high value to researchers and practitioners in the fields of optimization, structural design, and computational engineering. The focus on novel research directions and multidisciplinary collaboration suggests a forward-looking perspective on the future of these disciplines.