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» Evolving by Maximizing the Number of Rules: Complexity Study
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GECCO
2005
Springer
140views Optimization» more  GECCO 2005»
15 years 11 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
16 years 14 days 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
JAC
2008
15 years 7 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
15 years 6 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 11 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