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» Learning Recursive Control Programs from Problem Solving
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103
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COR
2007
80views more  COR 2007»
15 years 14 days ago
Scheduling with tool changes to minimize total completion time under controllable machining conditions
Scheduling under controllable machining conditions has been studied for some time. Scheduling with tool changes, particularly due to tool wear, has just begun to receive attention...
M. Selim Akturk, Jay B. Ghosh, Rabia K. Kayan
SIGSOFT
2005
ACM
16 years 1 months ago
Applying classification techniques to remotely-collected program execution data
There is an increasing interest in techniques that support measurement and analysis of fielded software systems. One of the main goals of these techniques is to better understand ...
Murali Haran, Alan F. Karr, Alessandro Orso, Adam ...
167
Voted
GECCO
2007
Springer
558views Optimization» more  GECCO 2007»
15 years 6 months ago
A chain-model genetic algorithm for Bayesian network structure learning
Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....
Ratiba Kabli, Frank Herrmann, John McCall
84
Voted
GECCO
2005
Springer
132views Optimization» more  GECCO 2005»
15 years 6 months ago
Evolving computer intrusion scripts for vulnerability assessment and log analysis
Evolutionary computation is used to construct undetectable computer attack scripts. Using a simulated operating system, we show that scripts can be evolved to cover their tracks a...
Julien Budynek, Eric Bonabeau, Ben Shargel
GECCO
2006
Springer
140views Optimization» more  GECCO 2006»
15 years 4 months ago
A representational ecology for learning classifier systems
The representation used by a learning algorithm introduces a bias which is more or less well-suited to any given learning problem. It is well known that, across all possible probl...
James A. R. Marshall, Tim Kovacs