Robert P. Gove
ABSTRACT
The perennial plant Arabidopsis lyrata, whose genome has recently been sequenced, shows considerable adaptation to local climates, thus making it an ideal plant for analyzing the genetics of resource allocation. My research focuses on determining how resource allocation traits for reproduction and growth and maintenance may be controlled genetically in different populations. A simulation is developed to analyze the effectiveness of a particular resource allocation strategy, and a genetic algorithm is implemented to search through the strategy space and identify the most adaptive strategies for particular environments.
- M. J. Clauss and M. A. Koch. Poorly known relatives of Arabidopsis thaliana. Trends in Plant Science, 11(9):449--459, September 2006.Google Scholar
Cross Ref
- A. E. Eiben. and J. E. Smith Introduction to Evolutionary Computing. Springer, Berlin, 2003. Google ScholarDigital Library
- M. Mitchell. An Introduction to Genetic Algorithms. MIT Press, Cambridge, Mass, 1998. Google ScholarDigital Library
- D. L. Remington. Unpublished data, 2008--2009.Google Scholar
Index Terms
- Searching for adaptive resource allocation strategies in Arabidopsis lyrata using genetic algorithms
Recommendations
Resource reconstruction algorithms for on-demand allocation in virtual computing resource pool
Resource reconstruction algorithms are studied in this paper to solve the problem of resource on-demand allocation and improve the efficiency of resource utilization in virtual computing resource pool. Based on the idea of resource virtualization and ...
Resource allocation by genetic algorithm with fuzzy inference
Assuming that a make-to-order manufacturing company has customer orders, the addressed capacity allocation problem is a due-date assignment problem for multiple manufacturing resources. The purpose of this study is to develop an intelligent resource ...
Hybridisation of oppositional centre-based genetic algorithms for resource allocation in cloud
Cloud computing is an attractive computing model since it allows for the provision of resources on-demand. In cloud computing, resource allocation is one of the challenging problems; because when the clients want to allocate the resource to particular ...
Comments