"Genetic Programming Theory and Practice V" is a comprehensive collection of contributions that emerged from the fifth workshop at the Center for the Study of Complex Systems at the University of Michigan. This academic book serves as a platform for the exchange of ideas and information in the rapidly growing field of genetic programming (GP). It brings together insights from leading international researchers and practitioners who examine the similarities and differences between theoretical and empirical results on real-world problems. The text highlights the synergy between theory and practice and provides a thorough overview of the current state of GP applications. The topics covered range from bioinformatics to symbolic regression for system modeling, as well as financial modeling, circuit design, and robotics. This work is an indispensable reference for academics, researchers, and professionals engaged in genetic programming, evolutionary computation, machine learning, and artificial intelligence.