Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Evolving recursive programs for tree search
Advances in genetic programming
Cooperative Coevolution: An Architecture for Evolving Coadapted Subcomponents
Evolutionary Computation
On the Design and Analysis of Competent Selecto-recombinative GAs
Evolutionary Computation
Feature Extraction: Foundations and Applications (Studies in Fuzziness and Soft Computing)
Feature Extraction: Foundations and Applications (Studies in Fuzziness and Soft Computing)
A Monotonic Archive for Pareto-Coevolution
Evolutionary Computation
Novel ways of improving cooperation and performance in ensemble classifiers
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Forming neural networks through efficient and adaptive coevolution
Evolutionary Computation
Managing team-based problem solving with symbiotic bid-based genetic programming
Proceedings of the 10th annual conference on Genetic and evolutionary computation
On learning algorithm selection for classification
Applied Soft Computing
GP classifier problem decomposition using first-price and second-price auctions
EuroGP'07 Proceedings of the 10th European conference on Genetic programming
Training binary GP classifiers efficiently: a Pareto-coevolutionary approach
EuroGP'07 Proceedings of the 10th European conference on Genetic programming
Symbiogenesis as a mechanism for building complex adaptive systems: a review
EvoApplicatons'10 Proceedings of the 2010 international conference on Applications of Evolutionary Computation - Volume Part I
Evolutionary ensembles with negative correlation learning
IEEE Transactions on Evolutionary Computation
A comparison of linear genetic programming and neural networks inmedical data mining
IEEE Transactions on Evolutionary Computation
Biasing Coevolutionary Search for Optimal Multiagent Behaviors
IEEE Transactions on Evolutionary Computation
Rethinking multilevel selection in genetic programming
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Hierarchical task decomposition through symbiosis in reinforcement learning
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Automated mechanism design with co-evolutionary hierarchical genetic programming techniques
Proceedings of the 14th annual conference on Genetic and evolutionary computation
On the utility of trading criteria based retraining in forex markets
EvoApplications'13 Proceedings of the 16th European conference on Applications of Evolutionary Computation
Malicious automatically generated domain name detection using Stateful-SBB
EvoApplications'13 Proceedings of the 16th European conference on Applications of Evolutionary Computation
Benchmarking pareto archiving heuristics in the presence of concept drift: diversity versus age
Proceedings of the 15th annual conference on Genetic and evolutionary computation
On the impact of streaming interface heuristics on GP trading agents: an FX benchmarking study
Proceedings of the 15th annual conference on Genetic and evolutionary computation
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Models of Genetic Programming (GP) frequently reflect a neo-Darwinian view to evolution in which inheritance is based on a process of gradual refinement and the resulting solutions take the form of single monolithic programs. Conversely, introducing an explicitly symbiotic model of inheritance makes a divide-and-conquer metaphor for problem decomposition central to evolution. Benchmarking gradualist versus symbiotic models of evolution under a common evolutionary framework illustrates that not only does symbiosis result in more accurate solutions, but the solutions are also much simpler in terms of instruction and attribute count over a wide range of classification problem domains.