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» Function Optimization with Coevolutionary Algorithms
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ATAL
2010
Springer
13 years 11 months ago
Improving DPOP with function filtering
DPOP is an algorithm for distributed constraint optimization which has, as main drawback, the exponential size of some of its messages. Recently, some algorithms for distributed c...
Ismel Brito, Pedro Meseguer
JCO
2006
96views more  JCO 2006»
13 years 10 months ago
One-dimensional optimal bounded-shape partitions for Schur convex sum objective functions
Consider the problem of partitioning n nonnegative numbers into p parts, where part i can be assigned ni numbers with ni lying in a given range. The goal is to maximize a Schur con...
F. H. Chang, H. B. Chen, J. Y. Guo, Frank K. Hwang...
TCAD
2008
81views more  TCAD 2008»
13 years 9 months ago
Optimizing Nonmonotonic Interconnect Using Functional Simulation and Logic Restructuring
The relatively poor scaling of interconnect in modern digital circuits necessitates a number of design optimizations, which must typically be iterated several times to meet the spe...
Stephen Plaza, Igor L. Markov, Valeria Bertacco
ECAI
2010
Springer
13 years 11 months ago
Bayesian Monte Carlo for the Global Optimization of Expensive Functions
In the last decades enormous advances have been made possible for modelling complex (physical) systems by mathematical equations and computer algorithms. To deal with very long run...
Perry Groot, Adriana Birlutiu, Tom Heskes
GECCO
2010
Springer
222views Optimization» more  GECCO 2010»
13 years 8 months ago
Black-box optimization benchmarking of NEWUOA compared to BIPOP-CMA-ES: on the BBOB noiseless testbed
In this paper, the performances of the NEW Unconstrained Optimization Algorithm (NEWUOA) on some noiseless functions are compared to those of the BI-POPulation Covariance Matrix A...
Nikolaus Hansen, Raymond Ros