Multi-Objective Optimization Using Evolutionary Algorithms
Multi-Objective Optimization Using Evolutionary Algorithms
A multiple-mechanism developmental model for defining self-organizing geometric structures
A multiple-mechanism developmental model for defining self-organizing geometric structures
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Achieving a simple development model for 3D shapes: are chemicals necessary?
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Global shape with morphogen gradients and motile polarized cells
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
A systems approach to evolutionary multiobjective structural optimization and beyond
IEEE Computational Intelligence Magazine
Computational evolutionary embryogeny
IEEE Transactions on Evolutionary Computation
Evolving heterochrony for cellular differentiation using vector field embryogeny
Proceedings of the 12th annual conference on Genetic and evolutionary computation
On the correlations between developmental diversity and genomic composition
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Artificial cells for information processing: iris classification
ECAL'09 Proceedings of the 10th European conference on Advances in artificial life: Darwin meets von Neumann - Volume Part I
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We present a model of simulated evolutionary development on the basis of cells as building blocks for growth. In this model, cells grow and interact in a three-dimensional (3D) environment, where development is controlled by a simple genome. Using cell-cell interaction such as differential adhesion, cells sort and form complex arrangements. This developmental process is evolved using a multi-objective evolutionary algorithm to achieve lightweight and stable material with a complex inner structure.