The evolutionary origin of complex features
Findings show how complex functions can originate by random mutation and natural selection.
Avida: A Software Platform for Research in Computational Evolutionary Biology
This work explains the general principles on which Avida is built, as well as its main components and their interactions, and how experiments are set up, carried out, and analyzed.
Evolution of digital organisms at high mutation rates leads to survival of the flattest
According to quasi-species theory, selection favours the cloud of genotypes, interconnected by mutation, whose average replication rate is highest, and this prediction is confirmed using digital organisms that self-replicate, mutate and evolve.
PERSPECTIVE:EVOLUTION AND DETECTION OF GENETIC ROBUSTNESS
- J. D. de Visser, J. Hermisson, M. Whitlock
- BiologyEvolution; international journal of organic…
- 1 September 2003
This work focuses on the first kind of robustness—genetic robustness)—and survey three growing avenues of research: measuring genetic robustness in nature and in the laboratory; understanding the evolution of genetic robusts; and exploring the implications of genetic resilientness for future evolution.
Evolution of Biological Complexity
It is shown that, because natural selection forces genomes to behave as a natural "Maxwell Demon," within a fixed environment, genomic complexity is forced to increase.
Distributed Cooperative Caching in Social Wireless Networks
- M. Taghizadeh, Kristopher K. Micinski, S. Biswas, C. Ofria, E. Torng
- Computer ScienceIEEE Transactions on Mobile Computing
- 1 June 2013
Drawing motivation from Amazon's Kindle electronic book delivery business, practical network, service, and pricing models are developed which are then used for creating two object caching strategies for minimizing content provisioning costs in networks with homogenous and heterogeneous object demands.
On the Performance of Indirect Encoding Across the Continuum of Regularity
- J. Clune, Kenneth O. Stanley, Robert T. Pennock, C. Ofria
- Computer ScienceIEEE Transactions on Evolutionary Computation
- 1 June 2011
This paper presents the first comprehensive study showing that phenotypic regularity enables an indirect encoding to outperform direct encoding controls as problem regularity increases, and suggests a path forward that combines indirect encodings with a separate process of refinement.
Evolving coordinated quadruped gaits with the HyperNEAT generative encoding
- J. Clune, Benjamin E. Beckmann, C. Ofria, Robert T. Pennock
- Computer ScienceIEEE Congress on Evolutionary Computation
- 18 May 2009
It is demonstrated that HyperNEAT, a new and promising generative encoding for evolving neural networks, can evolve quadruped gaits without an engineer manually decomposing the problem.
Genome complexity, robustness and genetic interactions in digital organisms
The findings support the view that interactions are a general feature of genetic systems and the complex organisms are more robust than the simple ones with respect to the average effects of single mutations.
Balancing Robustness and Evolvability
Can a single unifying mathematical framework help to explain robustness - the ability of organisms to persist in the face of changing conditions - at all biological scales, from biochemical to…