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» Dynamic Control of Genetic Algorithms in a Noisy Environment
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CISS
2008
IEEE
15 years 10 months ago
On sparse representations of linear operators and the approximation of matrix products
—Thus far, sparse representations have been exploited largely in the context of robustly estimating functions in a noisy environment from a few measurements. In this context, the...
Mohamed-Ali Belabbas, Patrick J. Wolfe
TFS
2008
93views more  TFS 2008»
15 years 4 months ago
Using Fuzzy Logic to Design Separation Function in Flocking Algorithms
Abstract--Flocking algorithms essentially consist of three components: alignment, cohesion, and separation. To track a desired trajectory, the flock center should move along the de...
Dongbing Gu, Huosheng Hu
BMCBI
2007
144views more  BMCBI 2007»
15 years 4 months ago
Accelerated search for biomolecular network models to interpret high-throughput experimental data
Background: The functions of human cells are carried out by biomolecular networks, which include proteins, genes, and regulatory sites within DNA that encode and control protein e...
Suman Datta, Bahrad A. Sokhansanj
IPPS
2000
IEEE
15 years 8 months ago
Quality of Service Negotiation for Distributed, Dynamic Real-Time Systems
Dynamic, distributed, real-time systems control an environment that varies widely without any time-invariant statistical or deterministic characteristic, are spread across multiple...
Charles Cavanaugh, Lonnie R. Welch, Behrooz Shiraz...
GECCO
2008
Springer
178views Optimization» more  GECCO 2008»
15 years 5 months ago
Agent Smith: a real-time game-playing agent for interactive dynamic games
The goal of this project is to develop an agent capable of learning and behaving autonomously and making decisions quickly in a dynamic environment. The agent’s environment is a...
Ryan K. Small