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Announcing the Engagement of Sudoku: An In‐Class Genetic Algorithm Game
Author(s) -
Ernstberger Kathryn W.,
Venkataramanan M.A.
Publication year - 2018
Publication title -
decision sciences journal of innovative education
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.52
H-Index - 19
eISSN - 1540-4609
pISSN - 1540-4595
DOI - 10.1111/dsji.12160
Subject(s) - class (philosophy) , computer science , solver , genetic algorithm , point (geometry) , algorithm , artificial intelligence , machine learning , mathematics education , theoretical computer science , mathematics , programming language , geometry
This teaching brief describes an engaging, in‐class exercise that introduces genetic algorithms as well as advanced Excel functions and capabilities by modeling the familiar Sudoku puzzle. Student groups are first asked to manually solve a given puzzle and then translate that solution methodology to a spreadsheet model. This exercise can be used to build classroom community and as a launching point for the content area of genetic algorithms and the use of Evolutionary Solver.