Data-Driven Evolutionary Modeling in Materials Technology

Discover the cutting-edge insights in Data-Driven Evolutionary Modeling in Materials Technology, authored by experts in the field and published by Taylor & Francis Ltd in 2024. This comprehensive paperback spans 304 pages and delves into the intricate world of genetic and evolutionary algorithms tailored for the materials science domain.

The book explores essential strategies and procedures for evolutionary multi-objective optimization, providing readers with access to both professional and public domain codes. With a focus on recent applications, it serves as a valuable resource for researchers and practitioners looking to harness data-driven methodologies in materials technology. Enhance your understanding and stay ahead in this rapidly evolving field with this essential addition to your library.