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GECCO
2008
Springer
238views Optimization» more  GECCO 2008»
9 years 5 months ago
Using multiple offspring sampling to guide genetic algorithms to solve permutation problems
The correct choice of an evolutionary algorithm, a genetic representation for the problem being solved (as well as their associated variation operators) and the appropriate values...
Antonio LaTorre, José Manuel Peña, V...
GECCO
2005
Springer
131views Optimization» more  GECCO 2005»
9 years 9 months ago
Genetic algorithms for the sailor assignment problem
This paper examines a real-world application of genetic algorithms – solving the United States Navy’s Sailor Assignment Problem (SAP). The SAP is a complex assignment problem ...
Deon Garrett, Joseph Vannucci, Rodrigo Silva, Dipa...
IPPS
2007
IEEE
9 years 10 months ago
Message Routing and Scheduling in Optical Multistage Networks using Bayesian Inference method on AI algorithms
Optical Multistage Interconnection Networks (MINs) suffer from optical-loss during switching and crosstalk problem in the switches. The crosstalk problem is solved by routing mess...
Ajay K. Katangur, Somasheker Akkaladevi
AAAI
2004
9 years 5 months ago
A Comparison of Techniques for Scheduling Earth Observing Satellites
Scheduling observations by coordinated fleets of Earth Observing Satellites (EOS) involves large search spaces, complex constraints and poorly understood bottlenecks; conditions w...
Al Globus, James Crawford, Jason D. Lohn, Anna Pry...
GECCO
1999
Springer
167views Optimization» more  GECCO 1999»
9 years 8 months ago
A Biologically Inspired Fitness Function for Robotic Grasping
This paper describes the innovative use of genetic programming (GP) to solve the grasp synthesis problem for multifingered robot hands. The goal of our algorithm is to select a Ò...
J. Jaime Fernandez, Ian D. Walker
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