Evolutionary Computation: The Fossil Record
Evolutionary Computation: The Fossil Record
Symbiogenesis in learning clasifier systems
Artificial Life
An Endosymbiotic Evolutionary Algorithm for Optimization
Applied Intelligence
How Symbiosis Can Guide Evolution
ECAL '99 Proceedings of the 5th European Conference on Advances in Artificial Life
Biological Symbiosis as a Metaphor for Computational Hybridization
Proceedings of the 6th International Conference on Genetic Algorithms
The Symbiotic Evolution of Solutions and Their Representations
Proceedings of the 6th International Conference on Genetic Algorithms
Evolutionary Computing in Multi-Agent Environments: Specification and Symbiogenesis
PPSN IV Proceedings of the 4th International Conference on Parallel Problem Solving from Nature
Evolution Through Cooperation: The Symbiotic Algorithm
AE '95 Selected Papers from the European conference on Artificial Evolution
On the complexity of hierarchical problem solving
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Compositional Evolution: The Impact of Sex, Symbiosis, and Modularity on the Gradualist Framework of Evolution (Vienna Series in Theoretical Biology)
Transgenetic algorithm: a new evolutionary perspective for heuristics design
Proceedings of the 9th annual conference companion on Genetic and evolutionary computation
Forming neural networks through efficient and adaptive coevolution
Evolutionary Computation
Putting more genetics into genetic algorithms
Evolutionary Computation
Managing team-based problem solving with symbiotic bid-based genetic programming
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Symbiosis, synergy and modularity: introducing the reciprocal synergy symbiosis algorithm
ECAL'07 Proceedings of the 9th European conference on Advances in artificial life
A study of evolutionary multiagent models based on symbiosis
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Symbiosis, complexification and simplicity under GP
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Symbiotic coevolutionary genetic programming: a benchmarking study under large attribute spaces
Genetic Programming and Evolvable Machines
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In 1996 Daida et al. reviewed the case for using symbiosis as the basis for evolving complex adaptive systems [6]. Specific observations included the impact of different philosophical views taken by biologists as to what constituted a symbiotic relationship and whether symbiosis represented an operator or a state. The case was made for symbiosis as an operator. Thus, although specific cost benefit characterizations may vary, the underlying process of symbiosis is the same, supporting the operator based perspective. Symbiosis provides an additional mechanism for adaption/ complexification than available under Mendelian genetics with which Evolutionary Computation (EC) is most widely associated. In the following we review the case for symbiosis in EC. In particular, symbiosis appears to represent a much more effective mechanism for automatic hierarchical model building and therefore scaling EC methods to more difficult problem domains than through Mendelian genetics alone.