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ICAC
2009
IEEE
16 years 1 months ago
Applying genetic algorithms to decision making in autonomic computing systems
Increasingly, applications need to be able to self-reconfigure in response to changing requirements and environmental conditions. Autonomic computing has been proposed as a means...
Andres J. Ramirez, David B. Knoester, Betty H. C. ...
CORR
2008
Springer
90views Education» more  CORR 2008»
15 years 6 months ago
An Indirect Genetic Algorithm for Set Covering Problems
This paper presents a new type of genetic algorithm for the set covering problem. It differs from previous evolutionary approaches first because it is an indirect algorithm, i.e. ...
Uwe Aickelin
SAC
1998
ACM
15 years 10 months ago
Scalability of an MPI-based fast messy genetic algorithm
The fast messy genetic algorithm (fmGA) belongs to a class of algorithms inspired by the principles of evolution, known appropriately as "evolutionary algorithms" (EAs)....
Laurence D. Merkle, George H. Gates Jr., Gary B. L...
RECOMB
2004
Springer
16 years 6 months ago
The evolutionary capacity of protein structures
In nature, one finds large collections of different protein sequences exhibiting roughly the same three-dimensional structure, and this observation underpins the study of structur...
Leonid Meyerguz, David Kempe, Jon M. Kleinberg, Ro...
GECCO
2004
Springer
179views Optimization» more  GECCO 2004»
15 years 12 months ago
An Evolutionary Meta Hierarchical Scheduler for the Linux Operating System
Abstract. The need for supporting CSCW applications with heterogeneous and varying user requirements calls for adaptive and reconfigurable schedulers accommodating a mixture of re...
Horst Wedde, Muddassar Farooq, Mario Lischka