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Auto2Fit is a revolution tools for optimization, especially, in the area of nonlinear regression, Auto2Fit beats all other simliar ones.
Almost all data analysis software packages (SPSS, SAS, Statistical, Origin Pro, DataFit, Stata or Systat) need end-users to provide/guess initial start values, and the successes of optimization/nonlinear regression computation are havily depended on those guessed data. Unfortunately, for most of people, the guesses of proper start values are nightmare. With the unique, robust and high efficient optimation algorithms of UGO (Universal Global Optimization), Auto2Fit is no long to require the end-users to provide/guess initial start values (but with free random ones), the performance, however, is much better than any others. Auto2Fit has turned to be the best one for nonlinear regerssion analysis nowadays.
Auto2Fit is also a flexible, versatile, easiest-to-use tool in the areas of function optimization, system equation solving, parameter estimation, combinational problems (like TSP), linear, nonlinear programming, integer, mixed integer optimization, as well as chart drawing.
Auto2Fit can be used in the areas such as:
Regression and Curve Fit: linear, nonlinear, multi-nonlinear with no limitations on variable and parameter number.
Global Optimization: find the maximal/minimal value of any function. The function may be nonlinear, non-continues, non derivable.
Equation Solve: solve any type of equation or system equations, both linear and nonlinear.
Model Auto-calibration: parameter estimation of complicated engineering model.
Combinational Problems: solve problems like TSP and Short-Path.
Chart Drawing: 2-D, 3-D cartesian and 2-D parametric function chart, especial for implicit functions.
A number of optimization algorithms have been integrated in Auto2Fit:
Genetic Algorithm (GA): both encode/decode mode and real-value based mode, six crossover types and seven selection types.
Particle Swarm Optimization (PSO): six schemes (2 standard and 4 new).
Differential Evolution (DE): ten schemes (5 new) and four routs (3 new).
Maximum Inherit Optimization (MIO): four schemes.
Simulated Annealing (SA).
Simplex Method (SM).
Levenberg-Marquardt (LM): standard LM and Global LM.
Quasi-Newton (BFGS): standard BFGS and Global BFGS.
Self-Organizing Migrating Algorithms (SOMA).
Conjugate-Gradient Method (CGM).
Powell Optimization (OP).
Tabu Search (TS).
Support Basic and Pascal directly, as a result, any complicated problem could be described.
Multi-data file, multi-outputs supported: this unique feature makes it very useful for parameter estimation with multi-data file.
Easy to handle file-depended parameters and file-depended constants.
Bulit-in Excel-like, multi-windows spreadsheet, easy for pre- and post-data process.
Over 140 examples are included in the package, covering the areas of regression, curve fit, optimization, equation solving and parameter estimations.
and much more...