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» Game Theory Using Genetic Algorithms
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CEC
2008
IEEE
14 years 2 months ago
Path optimization for multiple objectives in directed graphs using genetic algorithms
Abstract— This paper presents a genetic algorithmic approach for finding efficient paths in directed graphs when optimizing multiple objectives. Its aim is to provide solutions...
Juan Rada, Ruben Parma, Wilmer Pereira
ATVA
2009
Springer
173views Hardware» more  ATVA 2009»
14 years 3 months ago
Solving Parity Games in Practice
Parity games are 2-player games of perfect information and infinite duration that have important applications in automata theory and decision procedures (validity as well as model...
Oliver Friedmann, Martin Lange
GECCO
2008
Springer
157views Optimization» more  GECCO 2008»
13 years 9 months ago
Self-adaptive mutation rates in genetic algorithm for inverse design of cellular automata
Self-adaptation is used a lot in Evolutionary Strategies and with great success, yet for some reason it is not the mutation adaptation of choice for Genetic Algorithms. This poste...
Ron Breukelaar, Thomas Bäck
ICALP
2010
Springer
13 years 10 months ago
The Cooperative Game Theory Foundations of Network Bargaining Games
We study bargaining games between suppliers and manufacturers in a network context. Agents wish to enter into contracts in order to generate surplus which then must be divided amon...
MohammadHossein Bateni, MohammadTaghi Hajiaghayi, ...
CODES
2003
IEEE
14 years 1 months ago
A low power scheduler using game theory
In this paper, we describe a new methodology based on game theory for minimizing the average power of a circuit during scheduling in behavioral synthesis. The problem of schedulin...
N. Ranganathan, Ashok K. Murugavel