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DAGSTUHL
2007
13 years 9 months ago
Learning Probabilistic Relational Dynamics for Multiple Tasks
The ways in which an agent’s actions affect the world can often be modeled compactly using a set of relational probabilistic planning rules. This paper addresses the problem of ...
Ashwin Deshpande, Brian Milch, Luke S. Zettlemoyer...
ASC
2004
13 years 7 months ago
Adaptive reconfiguration of data networks using genetic algorithms
Genetic algorithms are applied to an important, but little-investigated, network design problem, that of reconfiguring the topology and link capacities of an operational network t...
David J. Montana, Talib S. Hussain
WABI
2005
Springer
14 years 1 months ago
Time-Window Analysis of Developmental Gene Expression Data with Multiple Genetic Backgrounds
d Abstract] Tamir Tuller , Efrat Oron , Erez Makavy , Daniel A. Chamovitz † , and Benny Chor ‡ Tel-Aviv University, Tel-Aviv 69978, Israel. Abstract. We study gene expression d...
Tamir Tuller, Efrat Oron, Erez Makavy, Daniel A. C...
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
14 years 1 months ago
Multi-chromosomal genetic programming
This paper introduces an evolutionary algorithm which uses multiple chromosomes to evolve solutions to a symbolic regression problem. Inspiration for this algorithm is provided by...
Rachel Cavill, Stephen L. Smith, Andrew M. Tyrrell
CEC
2008
IEEE
14 years 2 months ago
A self-adaptive cellular memetic algorithm for the DNA fragment assembly problem
Abstract— The DNA fragment assembly problem is to reconstruct a DNA chain from multiple fragments that have previously been sequenced in a laboratory. This is a critical step in ...
Bernabé Dorronsoro, Enrique Alba, Gabriel L...