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Fundamental Modeling Exchange Rate using Genetic Algorithm: A Case Study of European Countries

Saeed Rasekhi
2011 Journal of Economics and Behavioral Studies  
Genetic Algorithms (GAs) are an adaptive heuristic search algorithm premised on the evolutionary ideas of natural selection and genetic.  ...  Then, we put these models into the genetic algorithm system for measuring their optimal weight for each model. These optimal weights have been measured according to four criteria i.e.  ...  In this regard, genetic algorithms and how it work was described briefly. Then, optimal weights of these models were extracted using genetic algorithms.  ... 
doi:10.22610/jebs.v3i6.290 fatcat:s3nsiaev2bgp3eyzbhmecnbpv4

Estimation of distribution algorithms on non-separable problems

Alexandru Agapie
2010 International Journal of Computer Mathematics  
The evolutionary algorithms discussed in this paper do not use crossover, nor mutation.  ...  Instead, they estimate and evolve a marginal probability distribution, the only responsible for generating new populations of chromosomes.  ...  The Dynamical Model Dynamical models are used to simulate the change in frequency of 1s within the population of chromosomes, without running the genetic algorithm.  ... 
doi:10.1080/00207160801968788 fatcat:lbcjdyk3r5c25hdtqfglt4puqq

Techniques based on genetic algorithms for large deflection analysis of beams

Rajesh Kumar, L. S. Ramachandra, D. Roy
2004 Sadhana (Bangalore)  
A couple of non-convex search strategies, based on the genetic algorithm, are suggested and numerically explored in the context of large-deflection analysis of planar, elastic beams.  ...  The first of these strategies is based on the stationarity of the energy functional in the equilibrium state and may therefore be considered weak.  ...  of length 12 Variable chromosome 0·10957 78 0·110 0·21782 72 0·220 of length 8  ... 
doi:10.1007/bf02901474 fatcat:zegsuy76gbb5fjty7lkpihjuq4

A New Multi-objective Sorting Algorithm And Its Combination With Game Theory For Optimizing I-beam Engineering System

Hamidreza Navidi, Mojtaba Ahmadie Khanesar, Leila Falahiazar
2015 Journal of Mathematics and Computer Science  
The NAVNSGA is compared with useful algorithms such as the non-elitist sorting genetic algorithm (NSGAI) and non-elitist sorting genetic algorithm (NSGAII) and the results obtained are showed the superiority  ...  This paper proposed a new average non-dominated sorting genetic algorithm (NAVNSGA).  ...  Proposing a New AVerage Non-dominated Sorting Genetic Algorithm A New AVerage Non-dominated Sorting Genetic Algorithm (NAVNSGA) is proposed in this paper to solve the disadvantage of NSGAI and NSGAII algorithms  ... 
doi:10.22436/jmcs.014.04.04 fatcat:fg6jjhgksfggrhhp4bn3wp43oa

Population dynamics coded in DNA: genetic traces of the expansion of modern humans

Marek Kimmel
1999 Physica A: Statistical Mechanics and its Applications  
To address this question, we use the classical Fisher-Wright-Moran model of population genetics, assuming variable population size and two models of mutation: the inÿnite-sites model and the stepwise-mutation  ...  model.  ...  Mathematical models Data structures in population genetics The usual sample of DNA used for genetic analysis is drawn from n chromosomes sampled from a population of e ective size N [9] .  ... 
doi:10.1016/s0378-4371(99)00351-9 fatcat:3bejso4s7bfhvktmcutweblk6q

A Genetic Algorithm Approach for Optimizing Traffic Control Signals Considering Routing

Fitsum Teklu, Agachai Sumalee, David Watling
2007 Computer-Aided Civil and Infrastructure Engineering  
of a Genetic Algorithm.  ...  model providing the equilibrium flows.  ...  GA-FITSUM (Genetic Algorithm based Formulation of Integrated Traffic Signal and User equilibrium Model) is the name given to the computer program that solves this problem.  ... 
doi:10.1111/j.1467-8667.2006.00468.x fatcat:tv2f2to4nzdfnpb7nppq4krvgu

Coevolutionary Genetic Fuzzy System to Assess Multiagent Bidding Strategies in Electricity Markets

Igor Walter, Fernando A. C. Gomide
2009 European Society for Fuzzy Logic and Technology  
Previous works have reported successful fuzzy bidding strategies developed by genetic fuzzy systems and coevolutionary algorithms.  ...  Assessing efficient bidding strategies allows evaluation of auction models and verification whether the mechanism design achieves its goals.  ...  ANEEL is neither responsible for this work nor any consequence from its use.  ... 
dblp:conf/eusflat/WalterG09 fatcat:c4p2by7sqfe4hhbr4lhbayuwoe

Optimization of Styrene Reactor Design for Two Objectives using a Genetic Algorithm

Yue Li, Gade P Rangaiah, Ajay Kumar Ray
2003 International journal of Chemical Reactor Engineering  
Optimization of industrial styrene reactor design for two objectives using the non-dominated sorting genetic algorithm (NSGA) is studied. Both adiabatic and steam-injected reactors are considered.  ...  The optimization problem described above is solved using a version of genetic algorithm suitable for multi-objective problems, referred to as the non-dominated sorting genetic algorithm (NSGA).  ...  Recently, Yee et al. (2002) successfully optimized the operation of both adiabatic and steam-injected reactors for multiple objectives using non-dominated sorting genetic algorithm (NSGA).  ... 
doi:10.2202/1542-6580.1013 fatcat:7ulcy2henzf73ebojgyco3pqv4

Population genetic simulation and data analysis with Plabsoft

Hans Peter Maurer, Albrecht E. Melchinger, Matthias Frisch
2007 Euphytica  
Computer simulations are a useful tool to solve problems in population genetics for which no analytical solutions are available.  ...  We developed Plabsoft, a powerful and flexible software for population genetic simulation and data analysis.  ...  In a first step (count), the number k of crossovers on a chromosome of length k M is determined with a realization of Poisson distributed random variable with parameter k.  ... 
doi:10.1007/s10681-007-9493-4 fatcat:mcuxe3ioubh6zc25swfyo7p6em

Polymorphism and locus-specific effects on polymorphism at microsatellite loci in natural Drosophila melanogaster populations

C Schlötterer, C Vogl, D Tautz
1997 Genetics  
Using genetic distance measures, we find also a distinct population subdivision between the non-African populations.  ...  Most interestingly, we find for some loci in some populations a strongly reduced variability, which cannot be explained by bottleneck effects.  ...  Despite slightly different branching patterns for two different tree building algorithms (UP-GMA and NJ) , the non-African populations are always grouped together.  ... 
pmid:9136020 pmcid:PMC1207946 fatcat:hkwmwhlocrehtdl4wbkhrkrg4q

Imputation of Single Nucleotide Polymorphism Genotypes in Biparental, Backcross, and Topcross Populations with a Hidden Markov Model

John M. Hickey, Gregor Gorjanc, Rajeev K. Varshney, Carl Nettelblad
2015 Crop science  
To generalize, genotype imputation involves genotyping some individuals with high-density markers, other individuals with low-density markers; and using this information to impute the untyped markers.  ...  Several pedigrees with the same structure were simulated with varying genetic lengths of the chromosomes.  ...  This means that the selfing extension introduced into the model sometimes gives worse performance than the non-extended model according to the metrics used here, since it models more recombinations and  ... 
doi:10.2135/cropsci2014.09.0648 fatcat:47gddwy7uvap7dgk2mbnsl3bme

Genetic algorithm for closed-loop equilibrium of high-order linear–quadratic dynamic games

Süheyla Özyıldırım
2000 Mathematics and Computers in Simulation  
In this paper, we implement an adaptive search algorithm, genetic algorithm to derive closed-loop Nash equilibria for linear-quadratic dynamic games.  ...  Also provided are some evidences which show the success of the algorithm.  ...  It is a highly parallel mathematical algorithm that transforms a set of (population) individual mathematical objects (typically fixed length character strings patterned after chromosome strings), each  ... 
doi:10.1016/s0378-4754(00)00155-5 fatcat:7ulbzireerc23k6wqfqahv264u

Influence of Two Different Producers in a Competitive Location Problem

babak Yousefi yegane, Isa Nakhai Kamalabadi, Hiwa Farughi
2019 Scientia Iranica. International Journal of Science and Technology  
To solve the problem, two metaheuristics algorithm based on genetic algorithm (GA) and hybrid of genetic algorithm and ant colony optimization (ACO) are proposed.  ...  To evaluate the efficiency of proposed algorithms, enumeration technique is used to find optimal solution.  ...  The Nash and Stackelberg equilibriums are two of the most important methods used in many non-cooperative games.  ... 
doi:10.24200/sci.2019.50310.1626 fatcat:tozocud2qjfxlfdgii7g3m3d7y

Bayesian analysis of complex traits in pedigreed plant populations

M. C. A. M. Bink, M. P. Boer, C. J. F. ter Braak, J. Jansen, R. E. Voorrips, W. E. van de Weg
2007 Euphytica  
The statistical model for the quantitative trait may include non-genetic and genetic components.  ...  The full probability model, prior assumptions on model variables are presented and criterion for model selection and posterior inferences are given.  ...  Prior assumptions The non-genetic variables are assumed to follow a Normal distribution a priori.  ... 
doi:10.1007/s10681-007-9516-1 fatcat:b2nlajfe6fg3jigkv4wkb5yjla

On the practical usage of genetic algorithms in ecology and evolution

Steven Hamblin, Thomas Hansen
2012 Methods in Ecology and Evolution  
However, genetic algorithms are not always the correct technique to use. Simpler methods may sometimes outperform genetic algorithms, and certain problem features may cause trouble. 4.  ...  However, there is little standardisation in how genetic algorithms are implemented in these fields and even less practical advice for those hoping to implement genetic algorithms for their own models.  ...  A genotype in the form of a vector of fixed length l is a chromosome, though the terms genotype and chromosome are often used interchangeably.  ... 
doi:10.1111/2041-210x.12000 fatcat:twuu52rzufcahjy3koet7vn6h4
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