Abstract
The development and use of software products depends entirely on people. When many people make intellectual contributions to a group activity, individual ability and circumstances affect the overall quality, quantity, and schedule. It is not wise to plan time schedules manually, because the increasing number of participants will introduce many constraints.
The authors consider schedule planning for the cooperative development of educational materials and curricula an optimum combination problem and introduce solutions through the use of genetic algorithms. More specifically, this paper describes a method of schedule planning using genetic algorithms, and discusses the effectiveness of this approach.
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J. H. Holland, Adaptation in Natural and Artificial Systems, Univ. of Michigan Press, 1975, MIT Press, 1992.
D.E. Goldberg, Genetic Algorithms in Search, Optimization, and Machine Leaning, Addison Wesley Publishing Co. Inc., 1989
N.Sawabe and S. Komiya et al., Schedule Planning for Software Development with Genetic Algorithms, 1993
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© 1995 Springer Science+Business Media Dordrecht
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Kado, T., Komiya, S. (1995). Schedule Planning by Using Genetic Algorithms for Developing Educational Materials and Curricula. In: Barta, BZ., Telem, M., Gev, Y. (eds) Information Technology in Educational Management. ITEM 1994. IFIP Advances in Information and Communication Technology. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-34839-1_25
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DOI: https://doi.org/10.1007/978-0-387-34839-1_25
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4757-5495-7
Online ISBN: 978-0-387-34839-1
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