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» Evolving by Maximizing the Number of Rules: Complexity Study
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79
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GECCO
2005
Springer
140views Optimization» more  GECCO 2005»
15 years 3 months ago
Intransitivity revisited coevolutionary dynamics of numbers games
Relative fitness, or “evaluation by tests” is one of the building blocks of coevolution: the only fitness information available is a comparison with other individuals in a p...
Pablo Funes, Enrique Pujals
CISS
2008
IEEE
15 years 4 months ago
Distributed power control in wireless ad hoc networks using message passing: Throughput optimality and network utility maximizat
— This paper presents an algorithm for distributed power control and scheduling over wireless ad hoc-networks, where the data rate on each link depends on the transmission power ...
Aneesh Reddy, Sanjay Shakkottai, Lei Ying
101
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JAC
2008
14 years 11 months ago
Rule 110: universality and catenations
Cellular automata are a simple model of parallel computation. Many people wonder about the computing power of such a model. Following an idea of S. Wolfram [16], M. Cook [3] has pr...
Gaétan Richard
CLIMA
2010
14 years 9 months ago
Is Computational Complexity a Barrier to Manipulation?
When agents are acting together, they may need a simple mechanism to decide on joint actions. One possibility is to have the agents express their preferences in the form of a ballo...
Toby Walsh
PODC
2005
ACM
15 years 3 months ago
Maximal independent sets in radio networks
We study the distributed complexity of computing a maximal independent set (MIS) in radio networks with completely unknown topology, asynchronous wake-up, and no collision detecti...
Thomas Moscibroda, Roger Wattenhofer