NDLI: GATutor: a graphical tutorial system for genetic algorithms

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GATutor: a graphical tutorial system for genetic algorithms

Content Provider	ACM Digital Library
Author	Schoenefeld, Dale A. Prince, Charles Tull, Travis Wainwright, Roger L.
Abstract	In this paper we discuss the design and implementation of GATutor, a graphical tutorial system for genetic algorithms (GA). The X Window/Motif system provides powerful tools for the development of a user interfaces with a familiar feel and look. We implemented the Traveling Salesman Problem (TSP) and the Set Covering Problem (SCP) as two example GA problems in the tutorial. The TSP problem uses an order-based chromosome representation (permutation of n objects), while the SCP uses bit strings. The user has numerous buttons to select the GA parameters. These include (a) type of initial population: random or from a file, (b) mode: steady-state or generational, (c) population size, (d) maximum number of generations or trials, (e) generation gap, (f) selection mode, (g) selection bias, (h) selection of the crossover operation from a choice of several possibilities, (i) mutation method, (j) mutation rate, (k) replacement method, (l), elitism, etc. The user has the ability to do astep by step execution or to do a continuous run. The screen layout provides visual representation of the chromosomes in the population with the ability to scroll. This gives the user the option of varying one or two GA parameters to visually see the effect on the algorithm. One of most important features of this tutorial is the set of help screens that explain, with examples, all of the options for each of the GA parameters. This package has already been very useful for teaching the fundamental features of GAs in many different courses, and it has been very valuable in our GA research projects.
Starting Page	203
Ending Page	207
Page Count	5
File Format	PDF
ISBN	0897916468
DOI	10.1145/191029.191119
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	1994-03-12
Publisher Place	New York
Access Restriction	Subscribed
Content Type	Text
Resource Type	Article

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