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These contributions, written by the foremost international
researchers and practitioners of Genetic Programming (GP), explore
the synergy between theoretical and empirical results on real-world
problems, producing a comprehensive view of the state of the art in
GP. Topics in this volume include: exploiting subprograms in
genetic programming, schema frequencies in GP, Accessible AI, GP
for Big Data, lexicase selection, symbolic regression techniques,
co-evolution of GP and LCS, and applying ecological principles to
GP. It also covers several chapters on best practices and lessons
learned from hands-on experience. Readers will discover
large-scale, real-world applications of GP to a variety of problem
domains via in-depth presentations of the latest and most
significant results.
These contributions, written by the foremost international
researchers and practitioners of Genetic Programming (GP), explore
the synergy between theoretical and empirical results on real-world
problems, producing a comprehensive view of the state of the art in
GP. Topics in this volume include: exploiting subprograms in
genetic programming, schema frequencies in GP, Accessible AI, GP
for Big Data, lexicase selection, symbolic regression techniques,
co-evolution of GP and LCS, and applying ecological principles to
GP. It also covers several chapters on best practices and lessons
learned from hands-on experience. Readers will discover
large-scale, real-world applications of GP to a variety of problem
domains via in-depth presentations of the latest and most
significant results.
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