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: evolutionary constraints, relaxation of selection mechanisms, diversity preservation strategies, flexing fitness evaluation, evolution in dynamic environments, multi-objective and multi-modal selection, foundations of evolvability, evolvable and adaptive evolutionary operators, foundation of injecting expert knowledge in evolutionary search, analysis of problem difficulty and required GP algorithm complexity, foundations in running GP on the cloud - communication, cooperation, flexible implementation, and ensemble methods.
Additional focal points for GP symbolic regression are:
| ISBN: | 9781493955633 |
| Publication date: | 23rd August 2016 |
| Author: | Rick Riolo, Jason H Moore, Mark Kotanchek |
| Publisher: | Springer an imprint of Springer New York |
| Format: | Paperback |
| Pagination: | 227 pages |
| Series: | Genetic and Evolutionary Computation |
| Genres: |
Artificial intelligence Algorithms and data structures Mathematical theory of computation Computer programming / software engineering |
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: evolutionary constraints, relaxation of selection mechanisms, diversity preservation strategies, flexing fitness evaluation, evolution in dynamic environments, multi-objective and multi-modal selection, foundations of evolvability, evolvable and adaptive evolutionary operators, foundation of injecting expert knowledge in evolutionary search, analysis of problem difficulty and required GP algorithm complexity, foundations in running GP on the cloud - communication, cooperation, flexible implementation, and ensemble methods.
Genetic Programming Theory and Practice XI features in the following genres: Artificial intelligence, Algorithms and data structures, Mathematical theory of computation, Computer programming / software engineering
Paperback. Not Available.
Genetic Programming Theory and Practice XI was written by Rick Riolo, Jason H Moore, Mark Kotanchek and published by Springer an imprint of Springer New York
Genetic Programming Theory and Practice XI has 227 pages
Yes it is part of Genetic and Evolutionary Computation series