Nonstationary function optimization using genetic algorithm with dominance and diploidy
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
Co-evolving parasites improve simulated evolution as an optimization procedure
CNLS '89 Proceedings of the ninth annual international conference of the Center for Nonlinear Studies on Self-organizing, Collective, and Cooperative Phenomena in Natural and Artificial Computing Networks on Emergent computation
Some Considerations on the Reason for Bloat
Genetic Programming and Evolvable Machines
An Analysis of the Causes of Code Growth in Genetic Programming
Genetic Programming and Evolvable Machines
A Comparison of Dominance Mechanisms and Simple Mutation on Non-stationary Problems
PPSN V Proceedings of the 5th International Conference on Parallel Problem Solving from Nature
Using Multi-chromosomes to Solve a Simple Mixed Integer Problem
AI '97 Proceedings of the 10th Australian Joint Conference on Artificial Intelligence: Advanced Topics in Artificial Intelligence
An Adaptive Mapping for Developmental Genetic Programming
EuroGP '01 Proceedings of the 4th European Conference on Genetic Programming
EuroGP '02 Proceedings of the 5th European Conference on Genetic Programming
Grammatical Evolution: Evolving Programs for an Arbitrary Language
EuroGP '98 Proceedings of the First European Workshop on Genetic Programming
Evolving teamwork and coordination with genetic programming
GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
Structural emergence with order independent representations
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII
A multi-chromosome approach to standard and embedded cartesian genetic programming
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Variable length genetic algorithms with multiple chromosomes on a variant of the Onemax problem
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Evolutionary and embryogenic approaches to autonomic systems
Proceedings of the 3rd International Conference on Performance Evaluation Methodologies and Tools
Parallel evolution using multi-chromosome cartesian genetic programming
Genetic Programming and Evolvable Machines
A survey of evolutionary and embryogenic approaches to autonomic networking
Computer Networks: The International Journal of Computer and Telecommunications Networking
Gene expression programming with DAG chromosome
ISICA'07 Proceedings of the 2nd international conference on Advances in computation and intelligence
An analysis of multi-chromosome GAs in deceptive problems
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Analysis of a triploid genetic algorithm over deceptive landscapes
Proceedings of the 27th Annual ACM Symposium on Applied Computing
Analysis of a triploid genetic algorithm over deceptive and epistatic landscapes
ACM SIGAPP Applied Computing Review
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This paper introduces an evolutionary algorithm which uses multiple chromosomes to evolve solutions to a symbolic regression problem. Inspiration for this algorithm is provided by the existence of multiple chromosomes in natural evolution, particularly in plants. A multi-chromosomal system usually requires a dominance system and subsequently dominance in nature and in previous artificial evolutionary systems has also been considered. An implementation of a multi-chromosomal system is presented with initial results which support the use of multi-chromosomal techniques in evolutionary algorithms.