Genetic Programming Theory and Practice 2010: An Introduction
Trent McConaghy, Ekaterina Vladislavleva, Rick Riolo · 2010
The toy problems are long gone, real applications are standard, and the systems have arrived. Genetic programming (GP) researchers have been designing and exploiting advances in theory, algorithm design, and computing power to the point where (traditionally) hard problems are the norm. As GP is being deployed in more real-world and hard problems, GP research goals are evolving to a higher level, to systems in which GP algorithms play a key role. The key goals in GP algorithm design are reasonable resource usage, high-qual ity results, and reliable convergence. To these GP algorithm goals, we add GP system goals: ease of system integration, end-user friendliness, and user contr ol of the problem and interactivity. In this book, expert GP researchers demonst rate how they have been achieving and improving upon the key GP algorithm and system aims, to realize them on real-world / hard problems. This work was presented at the GP Theory and Practice (GPTP) 2010 worshop. This introductory chapter summarizes how these experts' work is driving the frontiers of GP algorithm s and GP systems in their application to ever-harder application domains.