Digitally Evolving Models for Dynamically Adaptive Systems
SEAMS '07 Proceedings of the 2007 International Workshop on Software Engineering for Adaptive and Self-Managing Systems
Applying Digital Evolution to the Development of Self-Adaptive ULS Systems
ULS '07 Proceedings of the International Workshop on Software Technologies for Ultra-Large-Scale Systems
On the evolution of motility and intelligent tactic response
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Problem decomposition using indirect reciprocity in evolved populations
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Investigating the emergence of phenotypic plasticity in evolving digital organisms
ECAL'07 Proceedings of the 9th European conference on Advances in artificial life
The evolution of division of labor
ECAL'09 Proceedings of the 10th European conference on Advances in artificial life: Darwin meets von Neumann - Volume Part II
Analysing the evolvability of neural network agents through structural mutations
ECAL'05 Proceedings of the 8th European conference on Advances in Artificial Life
Automated repair of binary and assembly programs for cooperating embedded devices
Proceedings of the eighteenth international conference on Architectural support for programming languages and operating systems
| Hi-index | 0.00 |
We investigate common design decisions for constructing a computational genetic language in an autoadaptive system. Such languages must support self-replication and are typically Turing-complete so as not to limit the types of computations they can perform. We examine the importance of using templates to denote locations in the genome, the methods by which those templates are located (direct-matching versus complement-matching), methods used in the calculation of genome length and the size and complexity of the language. For each test, we examine the effects on the rate of evolution of the populations and isolate those factors that contribute to it, most notably the organisms' ability to withstand mutations