The book "Recent Advances in Memetic Algorithms" provides a comprehensive and up-to-date overview of memetic algorithms, which are known as evolutionary algorithms that apply local search processes to refine solutions for complex problems. This monograph is the first work to delve deeply into this technology, presenting both best practices and new trends in this research area. The authors, William E. Hart, Natalio Krasnogor, and J.E. Smith, offer a concise and standalone introduction to the topic, which is of interest to both postgraduate students and researchers. The book covers a wide range of applications, from creating optimal exam schedules at universities to predicting protein structures and optimally designing spacecraft trajectories. It serves as a valuable addition to textbooks on artificial intelligence and provides deep insights into the latest developments in search and optimization technology.