
International Conference on Pattern Recognition & Machine Intelligence. Genetic Algorithm for Double Digest Problem. Sur-Kolay S, Banerjee S, Mukhopadhyaya S, et al. Genetic algorithm solution for double digest problem. Ganjtabesh M., Ahrabian H., Nowari-Dalini A. In these running records, many exact DDP solutions are provided. These data files are in fact the running records of our simulations towards the 7 valid DDP test instances given in. 43 Data files: 42 of them are named as, where and, and the last is named as. 1 Maple algorithm, DDdraw.mws, is used for drawing the DDP solution in nested pie charts, with inputs A, B and C that are assigned by using Maple commands produced by strABC.m. –Plot2.m, the auxiliary Matlab algorithms for comparison of DDmap and other algorithms under the condition of. –Plot1.m, the auxiliary Matlab algorithms for comparison of DDmap and algorithm in and. –Trans.m, the Matlab algorithm for implementing Scaling-rounding-adjusting approach for Cases of. –simu1004.m, simu1004plots.m, simu1007.m, and simu1008.m, the auxiliary MATLAB algorithms for organizing simulations and producing the related figures. –strABC.m, the auxiliary MATLAB algorithm for producing Maple commands for reading data before calling the Maple algorithm DDdraw.mws. –randDDPinstance.m, the auxiliary MATLAB algorithm for producing a valid DDP instance according the given parameters. Note that this file also contains the definitions of five genetic operators RWS, PCC, P4X, FLP, CSH and related. This is the main algorithm, and its flowchart is depicted in Fig.

–getInstance.m, the auxiliary MATLAB algorithm for outputting test DDP instances in. The package DDmap consists of 13 Matlab algorithms: permGA.m, the MATLAB genetic algorithm for solving the DDP problem. –opPermCross.m, the MATLAB algorithm for implementing the RSC genetic operator. –referIndexSort.m, the MATLAB algorithm for implementing the so-called referenced sorting (based on index). Elements halfway between integers are rounded away from zero. type Round function r round(x,ties) r round(x) rounds the elements of x to the nearest integers. The 'odd' and 'down' options together provide a mirror image of the 'even' and 'up' pair.

Note that this file also contains the definitions of five genetic operators - RWS, PCC, P4X, FLP, CSH and related MATLAB functions for calculating the fitness values. The 'up' option is the default and the traditional MATLAB behavior. –permGA.m, the MATLAB genetic algorithm for solving the DDP problem. Note: Our all simulations in this project are conducted on a X1 Carbon laptop with Windows(TM) 8, Intel(R) Core(TM) i5-4300U and 8GB RAM. With the purpose to keep the consistency of the results with that of in this paper, any modification from others should be at first send to instead of editing this public project directly. It is the basic supplementary data of our paper entiled "DDmap: A Matlab package for double digest problem using multiple genetic operators" (preprint). A Matlab Package for Solving the Double Digest Problems
