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GECCO
2009
Springer
134views Optimization» more  GECCO 2009»
15 years 11 months ago
Estimating the distribution and propagation of genetic programming building blocks through tree compression
Shin et al [19] and McKay et al [15] previously applied tree compression and semantics-based simplification to study the distribution of building blocks in evolving Genetic Progr...
Robert I. McKay, Xuan Hoai Nguyen, James R. Cheney...
GECCO
2009
Springer
15 years 11 months ago
NEAT in increasingly non-linear control situations
Evolution of neural networks, as implemented in NEAT, has proven itself successful on a variety of low-level control problems such as pole balancing and vehicle control. Nonethele...
Matthias J. Linhardt, Martin V. Butz
GECCO
2009
Springer
175views Optimization» more  GECCO 2009»
15 years 11 months ago
Evolving soft robotic locomotion in PhysX
Given the complexity of the problem, genetic algorithms are one of the more promising methods of discovering control schemes for soft robotics. Since physically embodied evolution...
John Rieffel, Frank Saunders, Shilpa Nadimpalli, H...
HIPEAC
2009
Springer
15 years 11 months ago
Steal-on-Abort: Improving Transactional Memory Performance through Dynamic Transaction Reordering
Abstract. In transactional memory, aborted transactions reduce performance, and waste computing resources. Ideally, concurrent execution of transactions should be optimally ordered...
Mohammad Ansari, Mikel Luján, Christos Kots...
KDD
2009
ACM
172views Data Mining» more  KDD 2009»
15 years 11 months ago
Learning dynamic temporal graphs for oil-production equipment monitoring system
Learning temporal graph structures from time series data reveals important dependency relationships between current observations and histories. Most previous work focuses on learn...
Yan Liu, Jayant R. Kalagnanam, Oivind Johnsen
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