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» A hybrid approach to parameter tuning in genetic algorithms
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ICIC
2007
Springer
14 years 1 months ago
A Hybrid Electromagnetism-Like Algorithm for Single Machine Scheduling Problem
Electromagnetism-like algorithm (EM) is a population-based meta-heuristic which has been proposed to solve continuous problems effectively. In this paper, we present a new meta-h...
Shih-Hsin Chen, Pei-Chann Chang, Chien-Lung Chan, ...
ICANNGA
2007
Springer
112views Algorithms» more  ICANNGA 2007»
14 years 1 months ago
Multiple Sequence Alignment with Evolutionary-Progressive Method
A new evolutionary-progressive method for Multiple Sequence Alignment problem is proposed. The method efficiently combines flexibility of evolutionary approach with speed and accu...
Pawel Kupis, Jacek Mandziuk
ACSC
2009
IEEE
14 years 2 months ago
Inference of Gene Expression Networks Using Memetic Gene Expression Programming
In this paper we aim to infer a model of genetic networks from time series data of gene expression profiles by using a new gene expression programming algorithm. Gene expression n...
Armita Zarnegar, Peter Vamplew, Andrew Stranieri
GECCO
2005
Springer
152views Optimization» more  GECCO 2005»
14 years 1 months ago
A multi-objective genetic algorithm for robust design optimization
Real-world multi-objective engineering design optimization problems often have parameters with uncontrollable variations. The aim of solving such problems is to obtain solutions t...
Mian Li, Shapour Azarm, Vikrant Aute
PAMI
2007
169views more  PAMI 2007»
13 years 7 months ago
Estimating Optimal Parameters for MRF Stereo from a Single Image Pair
—This paper presents a novel approach for estimating the parameters for MRF-based stereo algorithms. This approach is based on a new formulation of stereo as a maximum a posterio...
Li Zhang, Steven M. Seitz