Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Incorporating expert knowledge in evolutionary search: a study of seeding methods
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Solving iterated functions using genetic programming
Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers
Evolutionary game theoretic approach for modeling civil violence
IEEE Transactions on Evolutionary Computation
Genetic Programming and Evolvable Machines
On the importance of data balancing for symbolic regression
IEEE Transactions on Evolutionary Computation
Generalizing surrogate-assisted evolutionary computation
IEEE Transactions on Evolutionary Computation
Age-fitness pareto optimization
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Efficiently evolving programs through the search for novelty
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Knowledge mining with genetic programming methods for variable selection in flavor design
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Predicting solution rank to improve performance
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Evolution of iterative formulas using Cartesian genetic programming
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part I
Genetic Programming and Evolvable Machines
Coevolution in cartesian genetic programming
EuroGP'12 Proceedings of the 15th European conference on Genetic Programming
Hoeffding bound based evolutionary algorithm for symbolic regression
Engineering Applications of Artificial Intelligence
Symbolic regression of multiple-time-scale dynamical systems
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Acceleration of evolutionary image filter design using coevolution in cartesian GP
PPSN'12 Proceedings of the 12th international conference on Parallel Problem Solving from Nature - Volume Part I
Information Sciences: an International Journal
Inference of hidden variables in systems of differential equations with genetic programming
Genetic Programming and Evolvable Machines
| Hi-index | 0.00 |
We present an algorithm that coevolves fitness predictors, optimized for the solution population, which reduce fitness evaluation cost and frequency, while maintaining evolutionary progress. Fitness predictors differ from fitness models in that they may or may not represent the objective fitness, opening opportunities to adapt selection pressures and diversify solutions. The use of coevolution addresses three fundamental challenges faced in past fitness approximation research: 1) the model learning investment; 2) the level of approximation of the model; and 3) the loss of accuracy. We discuss applications of this approach and demonstrate its impact on the symbolic regression problem. We show that coevolved predictors scale favorably with problem complexity on a series of randomly generated test problems. Finally, we present additional empirical results that demonstrate that fitness prediction can also reduce solution bloat and find solutions more reliably.