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GA.M: A Matlab routine for function maximization using a Genetic Algorithm

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Author Info
Michael B. Gordy ()

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Abstract

Implements a Genetic Algorithm for Maximization a la Dorsey and Mayer, Journal of Business and Economic Statistics, January 1995, 13(1)

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File URL: ftp://all.repec.org/RePEc/cod/html/Matlab/gordy.si
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File URL: ftp://all.repec.org/RePEc/cod/html/Matlab/gordy.m
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Publisher Info
Software component provided by in its series Matlab codes with number ga.

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Programming language: Matlab
Requires: Matlab 4.2 or later
Date of creation:
Date of revision: 12 Feb 1996
Handle: RePEc:cod:matlab:ga

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  1. Markus Poschke, 2007. "Employment Protection, Firm Selection, and Growth," IZA Discussion Papers 3164, Institute for the Study of Labor (IZA). [Downloadable!]
    Other versions:
  2. Paul McNelis & John Duffy, 1998. "Approximating and Simulating the Stochastic Growth Model: Parameterized Expectations, Neural Networks, and the Genetic Algorithm," GE, Growth, Math methods 9804004, EconWPA, revised 04 May 1998. [Downloadable!]
    Other versions:
  3. Alicia Gazely & Jane Binner & Graham Kendall, 2004. "Co-evolution vs. Neural Networks; An Evaluation of UK Risky Money," Computing in Economics and Finance 2004 258, Society for Computational Economics. [Downloadable!]
  4. Markus Poschke, 2006. "The regulation of entry and aggregate productivity," Economics Working Papers ECO2006/21, European University Institute. [Downloadable!]
  5. Christopher R. Knittel & Konstantinos Metaxoglou, 2008. "Estimation of Random Coefficient Demand Models: Challenges, Difficulties and Warnings," NBER Working Papers 14080, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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