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ANTSW
2004
Springer
14 years 2 months ago
S-ACO: An Ant-Based Approach to Combinatorial Optimization Under Uncertainty
A general-purpose, simulation-based algorithm S-ACO for solving stochastic combinatorial optimization problems by means of the ant colony optimization (ACO) paradigm is investigate...
Walter J. Gutjahr
CORR
2010
Springer
174views Education» more  CORR 2010»
13 years 9 months ago
Hybrid Numerical Solution of the Chemical Master Equation
We present a numerical approximation technique for the analysis of continuous-time Markov chains that describe networks of biochemical reactions and play an important role in the ...
Thomas A. Henzinger, Maria Mateescu, Linar Mikeev,...
IJAR
2007
86views more  IJAR 2007»
13 years 8 months ago
Joint propagation of probability and possibility in risk analysis: Towards a formal framework
This paper discusses some aspects of fuzzy random variables obtained by propagating uncertainty in risk analysis when some input parameters are stochastic, while others are determ...
Cédric Baudrit, Inés Couso, Didier D...
TEC
2011
134views more  TEC 2011»
13 years 3 months ago
Differential Evolution: A Survey of the State-of-the-Art
—Differential evolution (DE) is arguably one of the most powerful stochastic real-parameter optimization algorithms in current use. DE operates through similar computational step...
Swagatam Das, Ponnuthurai Nagaratnam Suganthan
ICASSP
2011
IEEE
13 years 15 days ago
Global emergent behaviors in clouds of agents
—Networks of biological agents (for example, ants, bees, fish, birds) and complex man-made cyberphysical infrastructures (for example, the power grid, transportation networks) e...
Soummya Kar, José M. F. Moura