1149 search results - page 35 / 230 » Comparing parameter tuning methods for evolutionary algorith... |
ICML
2007
IEEE
15 years 11 months ago
2007
IEEE
In this paper, we survey the current state-ofart models for structured learning problems, including Hidden Markov Model (HMM), Conditional Random Fields (CRF), Averaged Perceptron...
86
Voted
CEC
2005
IEEE
15 years 4 months ago
2005
IEEE
An Internet Java Applet http://www.cs.essex.ac.uk/staff/poli/ SoloPong/ allows users anywhere to play the Solo Pong game. We compare people’s performance to a hand coded “Optim...
97
Voted
GECCO
2009
Springer
15 years 3 months ago
2009
Springer
Encouraging exploration, typically by preserving the diversity within the population, is one of the most common method to improve the behavior of evolutionary algorithms with dece...
85
Voted
ICTAI
2003
IEEE
15 years 4 months ago
2003
IEEE
This paper presents a simple ¢¤£¦¥¨§© Evolution Strategy and three simple selection criteria to solve engineering optimization problems. This approach avoids the use of a...
TSP
2008
14 years 10 months ago
2008
In this correspondence, parameter estimation of a polynomial phase signal (PPS) in additive white Gaussian noise is addressed. Assuming that the order of the PPS is at least 3, the...