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GECCO
2007
Springer
192views Optimization» more  GECCO 2007»
16 years 13 days ago
Self-adaptive ant colony optimisation applied to function allocation in vehicle networks
Modern vehicles possess an increasing number of software and hardware components that are integrated in electronic control units (ECUs). Finding an optimal allocation for all comp...
Manuel Förster, Bettina Bickel, Bernd Hardung...
GECCO
2007
Springer
148views Optimization» more  GECCO 2007»
16 years 13 days ago
Exploring the behavior of building blocks for multi-objective variation operator design using predator-prey dynamics
In this paper, we utilize a predator-prey model in order to identify characteristics of single-objective variation operators in the multi-objective problem domain. In detail, we a...
Christian Grimme, Joachim Lepping, Alexander Papas...
ICMLA
2003
15 years 7 months ago
A Distributed Reinforcement Learning Approach to Pattern Inference in Go
— This paper shows that the distributed representation found in Learning Vector Quantization (LVQ) enables reinforcement learning methods to cope with a large decision search spa...
Myriam Abramson, Harry Wechsler
SIGSOFT
2009
ACM
16 years 7 months ago
Symbolic pruning of concurrent program executions
We propose a new algorithm for verifying concurrent programs, which uses concrete executions to partition the program into a set of lean partitions called concurrent trace program...
Chao Wang, Swarat Chaudhuri, Aarti Gupta, Yu Yang
GECCO
2009
Springer
16 years 25 days ago
The relationship between evolvability and bloat
Bloat is a common problem with Evolutionary Algorithms (EAs) that use variable length representation. By creating unnecessarily large individuals it results in longer EA runtimes ...
Jeffrey K. Bassett, Mark Coletti, Kenneth A. De Jo...