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116
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GECCO
2004
Springer
15 years 9 months ago
Upper Bounds on the Time and Space Complexity of Optimizing Additively Separable Functions
Abstract. We present upper bounds on the time and space complexity of finding the global optimum of additively separable functions, a class of functions that has been studied exten...
Matthew J. Streeter
103
Voted
GECCO
2010
Springer
173views Optimization» more  GECCO 2010»
15 years 5 months ago
Black-box optimization benchmarking for noiseless function testbed using artificial bee colony algorithm
This paper benchmarks the Artificial Bee Colony (ABC) algorithm using the noise-free BBOB 2010 testbed. The results show how this algorithm is highly successful in the separable a...
Mohammed El-Abd
125
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ICANN
2010
Springer
15 years 3 months ago
Solving Independent Component Analysis Contrast Functions with Particle Swarm Optimization
Independent Component Analysis (ICA) is a statistical computation method that transforms a random vector in another one whose components are independent. Because the marginal distr...
Jorge Igual, Jehad I. Ababneh, Raul Llinares, Juli...
127
Voted
CISS
2007
IEEE
15 years 10 months ago
Precoder Optimization for Nonlinear MIMO Transceiver Based on Arbitrary Cost Function
— Assuming full channel state information (CSI) at both transmitter (CSIT) and receiver (CSIR), we consider optimizing a nonlinear MIMO transceiver with (nonlinear) decision feed...
Yi Jiang, Daniel Pérez Palomar, Mahesh K. V...
132
Voted
ISCIS
2003
Springer
15 years 8 months ago
A New Continuous Action-Set Learning Automaton for Function Optimization
In this paper, we study an adaptive random search method based on continuous action-set learning automaton for solving stochastic optimization problems in which only the noisecorr...
Hamid Beigy, Mohammad Reza Meybodi