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» Evolutionary Approaches to Linear Ordering Problem
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120
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GECCO
2009
Springer
128views Optimization» more  GECCO 2009»
15 years 10 months ago
Neural network ensembles for time series forecasting
This work provides an analysis of using the evolutionary algorithm EPNet to create ensembles of artificial neural networks to solve a range of forecasting tasks. Several previous...
Victor M. Landassuri-Moreno, John A. Bullinaria
GECCO
2007
Springer
172views Optimization» more  GECCO 2007»
15 years 10 months ago
Real-coded ECGA for economic dispatch
In this paper, we propose a new approach that consists of the extended compact genetic algorithm (ECGA) and split-ondemand (SoD), an adaptive discretization technique, to economic...
Chao-Hong Chen, Ying-Ping Chen
CAV
2001
Springer
121views Hardware» more  CAV 2001»
15 years 8 months ago
A Practical Approach to Coverage in Model Checking
In formal verification, we verify that a system is correct with respect to a specification. When verification succeeds and the system is proven to be correct, there is still a q...
Hana Chockler, Orna Kupferman, Robert P. Kurshan, ...
GECCO
2010
Springer
218views Optimization» more  GECCO 2010»
15 years 8 months ago
Cartesian genetic programming
This paper presents a new form of Genetic Programming called Cartesian Genetic Programming in which a program is represented as an indexed graph. The graph is encoded in the form o...
Julian Francis Miller, Simon L. Harding
124
Voted
TSP
2010
14 years 10 months ago
On entropy rate for the complex domain and its application to i.i.d. sampling
We derive the entropy rate formula for a complex Gaussian random process by using a widely linear model. The resulting expression is general and applicable to both circular and non...
Wei Xiong, Hualiang Li, Tülay Adali, Yi-Ou Li...