scholarly journals Appendix C: Sample Output from Algorithms

2007 ◽  
pp. 333-338
Keyword(s):  
Sample Output

Solving Pattern Nesting Problems with Genetic Algorithms Employing Task Decomposition and Contact Detection

1995 ◽  
Vol 3 (3) ◽  
pp. 239-266 ◽  
Author(s):  
Rahul Dighe ◽  
Mark J. Jakiela
Keyword(s):  
Genetic Algorithms ◽  
Contact Detection ◽  
Two Dimensional ◽  
Hierarchical Approach ◽  
Minimum Area ◽  
Task Decomposition ◽  
Genetic Search ◽  
Sample Output

A hierarchical approach for nesting two-dimensional shapes based on genetic algorithms is described. For the higher-level search, a representation that facilitates genetic search based on recombination is developed. An alternatiye to overlap computation based on assembly of polygons is used at the lower level of search. Two implementations to find minimum-area enclosures for polygons, with and without a cohstraint on the width of stock, are discussed. Sample output illustrating the effectiveness of the approach is provided.

Three Computer Programs: Back-Calculation, Condition Factor, and Stomach Content, CDC 3600 Fortran/Format

1970 ◽  
Vol 27 (1) ◽  
pp. 156-157 ◽  
Author(s):  
J. C. Mawson ◽  
R. J. Reed
Keyword(s):  
Stomach Content ◽  
Storage Capacity ◽  
Condition Factor ◽  
Computer Programs ◽  
Program Instruction ◽  
Sample Output ◽  
Back Calculation ◽  
University Of Massachusetts ◽  
Standard Fortran ◽  
The University

Three programs were developed to be used on the CDC 3600 computer at the University of Massachusetts: back-calculation, condition factor, and stomach content. They are written in standard Fortran IV notation, which can be adapted to any computer setup that accepts Fortran IV and has at least the storage capacity listed for each program. Instruction sheets and sample output can be secured from either author.

A System for Evaluating Screen Formats

1986 ◽  
Vol 30 (12) ◽  
pp. 1216-1220 ◽  
Author(s):  
Thomas S. Tullis
Keyword(s):  
Regression Equations ◽  
Analysis Program ◽  
Subjective Ratings ◽  
Sample Output ◽  
Usability Data ◽  
Improved Design ◽  
Extract Information

In previous research, six parameters for objectively evaluating screen formats were identified. Based upon analyses of usability data from 520 displays, regression equations were developed for predicting user's search times to extract information from the displays as well as their subjective ratings of the displays. Recently, a program for measuring these parameters, recommending possible format improvements, and making usability predictions was developed for PC-compatible computers. This program, called the Display Analysis Program, is described and a sample output for a poorly designed screen presented. A revised version of the screen illustrates how the recommendations from the program can lead to an improved design.

Sign in / Sign up

Export Citation Format

Share Document