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» Complex networks and evolutionary computation
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RECOMB
2006
Springer
16 years 1 months ago
Assessing Significance of Connectivity and Conservation in Protein Interaction Networks
Computational and comparative analysis of protein-protein interaction (PPI) networks enable understanding of the modular organization of the cell through identification of functio...
Mehmet Koyutürk, Ananth Grama, Wojciech Szpan...
NSDI
2008
15 years 3 months ago
NetComplex: A Complexity Metric for Networked System Designs
The systems and networking community treasures "simple" system designs, but our evaluation of system simplicity often relies more on intuition and qualitative discussion...
Byung-Gon Chun, Sylvia Ratnasamy, Eddie Kohler
LCN
2005
IEEE
15 years 7 months ago
GaMa : An Evolutionary Algorithmic Approach for the Design of Mesh-Based Radio Access Networks
Wireless mesh based access networks are destined to play a pivotal role in next generation broadband systems. With the proliferation of mesh networks, a key issue for network desi...
Samik Ghosh, Preetam Ghosh, Kalyan Basu, Sajal K. ...
CEC
2005
IEEE
15 years 3 months ago
Evolving autonomous agent control in the Xpilot environment
Abstract- Interactive combat games are useful as testbeds for learning systems employing evolutionary computation. Of particular value are games that can be modified to accommodate...
Gary B. Parker, Matt Parker, Steven D. Johnson
CORR
2010
Springer
152views Education» more  CORR 2010»
15 years 1 months ago
Neuroevolutionary optimization
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
Eva Volná