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AMC
2005
191views more  AMC 2005»
15 years 3 months ago
Model identification of ARIMA family using genetic algorithms
ARIMA is a popular method to analyze stationary univariate time series data. There are usually three main stages to build an ARIMA model, including model identification, model est...
Chorng-Shyong Ong, Jih-Jeng Huang, Gwo-Hshiung Tze...
118
Voted
JACIII
2007
103views more  JACIII 2007»
15 years 3 months ago
Dynamically Adjusting Migration Rates for Multi-Population Genetic Algorithms
In this paper, the issue of adapting migration parameters for MGAs is investigated. We examine, in particular, the effect of adapting the migration rates on the performance and so...
Tzung-Pei Hong, Wen-Yang Lin, Shu-Min Liu, Jiann-H...
CORR
2004
Springer
108views Education» more  CORR 2004»
15 years 3 months ago
Efficiency Enhancement of Probabilistic Model Building Genetic Algorithms
Abstract. This paper presents two different efficiency-enhancement techniques for probabilistic model building genetic algorithms. The first technique proposes the use of a mutatio...
Kumara Sastry, David E. Goldberg, Martin Pelikan
125
Voted
ACL
2010
15 years 1 months ago
A New Approach to Improving Multilingual Summarization Using a Genetic Algorithm
Automated summarization methods can be defined as "language-independent," if they are not based on any languagespecific knowledge. Such methods can be used for multiling...
Marina Litvak, Mark Last, Menahem Friedman
159
Voted
CLOUDCOM
2010
Springer
15 years 1 months ago
Scaling Populations of a Genetic Algorithm for Job Shop Scheduling Problems Using MapReduce
Inspired by Darwinian evolution, a genetic algorithm (GA) approach is one of the popular heuristic methods for solving hard problems, such as the Job Shop Scheduling Problem (JSSP...
Di-Wei Huang, Jimmy Lin