Document Name : User's Guide to Subroutine EVOP Document Type : Portable Document Format( PDF) Size : Approximately 350.66 kb, 179 Pages   Author : Sayeed Nurul Ghani PhD (University of London) DIC (Imperial College) CEng (UK), MIEE (UK) Six Sigma Green Belt Certified (USA)

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Description : This is the user’s manual for a numerical optimization software EVOP (Evolutionary Operation) written in FORTRAN-IV language. This is the user’s manual for a new optimization algorithm EVOP coded in FORTRAN-IV language. Few current methods cope with real world problems involving discontinuous objective and constraining functions where there is a mix of continuous, discrete and integer arguments and global minimum is sought. For noisy data, solutions are possible with genetic algorithms but costly parallel processing would be needed to locate the global minimum. Solutions remain illusive with genetic algorithms for problems with hard real-time constraints. The author’s robust algorithm EVOP surmounts these difficulties with a much faster and more accurate solution. No gradient information is needed, and there is a high probability of locating the global minimum with a small number of automatic restarts as specified by the user. It appears EVOP is the ‘silver bullet’ that has succeeded in slaying the ‘dragon’ of dimensionality in multiple minima bound objective functions.