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GECCO
2009
Springer
16 years 1 months 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...
SAGT
2009
Springer
155views Game Theory» more  SAGT 2009»
16 years 1 months ago
Anarchy, Stability, and Utopia: Creating Better Matchings
We consider the loss in social welfare caused by individual rationality in matching scenarios. We give both theoretical and experimental results comparing stable matchings with soc...
Elliot Anshelevich, Sanmay Das, Yonatan Naamad
SAGT
2009
Springer
192views Game Theory» more  SAGT 2009»
16 years 1 months ago
Better with Byzantine: Manipulation-Optimal Mechanisms
Abstract. A mechanism is manipulable if it is in some agents’ best interest to misrepresent their private information. The revelation principle establishes that, roughly, anythin...
Abraham Othman, Tuomas Sandholm
SAGT
2009
Springer
102views Game Theory» more  SAGT 2009»
16 years 1 months ago
Free-Riding and Free-Labor in Combinatorial Agency
Abstract. This paper studies a setting where a principal needs to motivate teams of agents whose efforts lead to an outcome that stochastically depends on the combination of agent...
Moshe Babaioff, Michal Feldman, Noam Nisan
180
Voted
INDIASE
2009
ACM
16 years 1 months ago
An effective learning environment for teaching problem solving in software architecture
A software architect engages in solving Software Engineering (SE) problems throughout his career. Thus inculcating problem solving skills should be one of the learning objectives ...
Kirti Garg, Vasudeva Varma