Data-Driven Evolutionary Modeling in Materials Technology

Discover the groundbreaking insights in "Data-Driven Evolutionary Modeling in Materials Technology" by Nirupam Chakraborti, published by Taylor & Francis Ltd in 2022. This comprehensive hardback edition spans 304 pages and delves into the innovative genetic and evolutionary algorithms that address key challenges in the field of materials science.

Chakraborti expertly discusses the procedures for evolutionary multi-objective optimization, providing readers with essential knowledge on objective functions. The book also includes valuable information on both professional and public domain codes, along with a wide range of recent applications that showcase the practical implications of these advanced methodologies.

Whether you're a researcher, engineer, or student, this book is an essential resource for anyone looking to enhance their understanding of data-driven approaches in materials technology. Don't miss the opportunity to elevate your expertise with this pivotal work!