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GECCO
2008
Springer
168views Optimization» more  GECCO 2008»
15 years 7 months ago
A multi-start quantum-inspired evolutionary algorithm for solving combinatorial optimization problems
Quantum-inspired evolutionary algorithms (QIEAs), as a subset of evolutionary computation, are based on the principles of quantum computing such as quantum bits and quantum superp...
Parvaz Mahdabi, Saeed Jalili, Mahdi Abadi
CORR
2008
Springer
227views Education» more  CORR 2008»
15 years 6 months ago
An experimental analysis of Lemke-Howson algorithm
We present an experimental investigation of the performance of the Lemke-Howson algorithm, which is the most widely used algorithm for the computation of a Nash equilibrium for bi...
Bruno Codenotti, Stefano De Rossi, Marino Pagan
179
Voted
ECCC
2007
180views more  ECCC 2007»
15 years 6 months ago
Adaptive Algorithms for Online Decision Problems
We study the notion of learning in an oblivious changing environment. Existing online learning algorithms which minimize regret are shown to converge to the average of all locally...
Elad Hazan, C. Seshadhri
179
Voted
APIN
2005
92views more  APIN 2005»
15 years 6 months ago
A Hybrid Neural-Genetic Algorithm for the Frequency Assignment Problem in Satellite Communications
A hybrid Neural-Genetic algorithm (NG) is presented for the frequency assignment problem in satellite communications (FAPSC). The goal of this problem is minimizing the cochannel i...
Sancho Salcedo-Sanz, Carlos Bousoño-Calz&oa...
TIP
2008
126views more  TIP 2008»
15 years 6 months ago
Maximum-Entropy Expectation-Maximization Algorithm for Image Reconstruction and Sensor Field Estimation
Abstract--In this paper, we propose a maximum-entropy expectation-maximization (MEEM) algorithm. We use the proposed algorithm for density estimation. The maximum-entropy constrain...
Hunsop Hong, Dan Schonfeld