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WSC
2004
15 years 7 months ago
Simulation Optimization Using Balanced Explorative and Exploitative Search
We present a new random search method for solving simulation optimization problems. Our approach emphasizes the need for maintaining the right balance between exploration and expl...
Andrei A. Prudius, Sigrún Andradótti...
JCB
2006
114views more  JCB 2006»
15 years 6 months ago
A General Modeling Strategy for Gene Regulatory Networks with Stochastic Dynamics
A stochastic genetic toggle switch model that consists of two identical, mutually repressive genes is built using the Gillespie algorithm with time delays as an example of a simpl...
Andre Ribeiro, Rui Zhu, Stuart A. Kauffman
TASLP
2010
78views more  TASLP 2010»
15 years 1 months ago
Solving Demodulation as an Optimization Problem
We introduce two new methods for the demodulation of acoustic signals by posing the problem in a convex optimization framework. This allows the parameters of the modulator and carr...
Gregory Sell, Malcolm Slaney
GECCO
2010
Springer
237views Optimization» more  GECCO 2010»
15 years 11 months ago
Benchmarking the (1, 4)-CMA-ES with mirrored sampling and sequential selection on the noiseless BBOB-2010 testbed
The well-known Covariance Matrix Adaptation Evolution Strategy (CMA-ES) is a robust stochastic search algorithm for optimizing functions defined on a continuous search space RD ....
Anne Auger, Dimo Brockhoff, Nikolaus Hansen
EUROCAST
2007
Springer
132views Hardware» more  EUROCAST 2007»
15 years 10 months ago
Using Omnidirectional BTS and Different Evolutionary Approaches to Solve the RND Problem
RND (Radio Network Design) is an important problem in mobile telecommunications (for example in mobile/cellular telephony), being also relevant in the rising area of sensor network...
Miguel A. Vega-Rodríguez, Juan Antonio G&oa...