Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Complex organization in multicellularity as a necessity in evolution
Artificial Life - Special issue on the Artificial Life VII: looking backward, looking forward
Evolution of genetic codes through isologous diversification of cellular states
Artificial Life - Special issue on the Artificial Life VII: looking backward, looking forward
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Genetic Programming and Autoconstructive Evolution with the Push Programming Language
Genetic Programming and Evolvable Machines
Evolving neural networks through augmenting topologies
Evolutionary Computation
A Self-Repairing and Self-Healing Electronic Watch: The BioWatch
ICES '01 Proceedings of the 4th International Conference on Evolvable Systems: From Biology to Hardware
Architecture for an Artificial Immune System
Evolutionary Computation
Strongly typed genetic programming
Evolutionary Computation
Forming neural networks through efficient and adaptive coevolution
Evolutionary Computation
Ant system: optimization by a colony of cooperating agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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The developmental metaphor has clear advantages for the design of physically-realizable artifacts, particularly when coupled with evolutionary algorithms. However, the embodiment of a developmental process in a purely computational system appears much more problematic, largely because embryogenesis evolved for the purpose of synthesizing 3-dimensional structure from a linear code, not for growing Universal Turing Machines. This research considers possible models of computational problem-solving based on the 5 primary developmental stages: cleavage division, patterning, cell differentiation, morphogenesis, and growth. A specific developmental approach to the NP-Complete problem, vertex cover (VC), is discussed, as well as a general model of developmental computation based on a multicellular extension of PUSH [12], a new stack-based language designed specifically for evolutionary computation.