GenAnneal: Genetically modified Simulated Annealing

Published: 15 May 2006| Version 1 | DOI: 10.17632/jd8gt2yxbx.1
Ioannis G. Tsoulos, Isaac E. Lagaris


Abstract A modification of the standard Simulated Annealing (SA) algorithm is presented for finding the global minimum of a continuous multidimensional, multimodal function. We report results of computational experiments with a set of test functions and we compare to methods of similar structure. The accompanying software accepts objective functions coded both in Fortran 77 and C++. Title of program: GenAnneal Catalogue Id: ADXI_v1_0 Nature of problem A multitude of problems in science and engineering are often reduced to minimizing a function of many variables. There are instances that a local optimum does not correspond to the desired physical solution and hence the search for a better solution is required. Local optimization techniques are frequently trapped in local minima. Global optimization is hence the appropriate tool. For example, solving a non-linear system of equations via optimization, employing a "least squares" type of objectiv ... Versions of this program held in the CPC repository in Mendeley Data ADXI_v1_0; GenAnneal; 10.1016/j.cpc.2005.12.011 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)



Computational Physics, Computational Method