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Title: :  Solving scheduling problem with genetic algorithm approach
PaperId: :  10888
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 5 Issue 5 2019
DUI:    16.0415/IJARIIE-10888
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Rakotomahefa AndriamirindraED-STII, University of Antananarivo
Randimbindrainibe FalimananaED-STII, University of Antananarivo
Robinson MatioED-STII, University of Antananarivo

Abstract

Artificial Intelligence
Scheduling, Genetic Algorithm, Timetable Constraints, Algorithm Complexity, Optimization, Schema Theories
This paper contributes to modeling and solving the scheduling problem that belongs to the NP-complete complexity class. The data are manipulated and structured with UML principles and they are processed according to the genetic algorithm approaches. The study and application of schema theories on crossover and mutation operators improve both the final solution quality and the execution time duration. The results make it possible to evaluate the temporal complexity which is of the form ax + b. This proves and confirms that the objective of this search is achieved: the scheduling problem (NP-complete) is reduced to a polynomial problem O (n).

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IJARIIE Rakotomahefa Andriamirindra, Randimbindrainibe Falimanana, and Robinson Matio. "Solving scheduling problem with genetic algorithm approach" International Journal Of Advance Research And Innovative Ideas In Education Volume 5 Issue 5 2019 Page 559-574
MLA Rakotomahefa Andriamirindra, Randimbindrainibe Falimanana, and Robinson Matio. "Solving scheduling problem with genetic algorithm approach." International Journal Of Advance Research And Innovative Ideas In Education 5.5(2019) : 559-574.
APA Rakotomahefa Andriamirindra, Randimbindrainibe Falimanana, & Robinson Matio. (2019). Solving scheduling problem with genetic algorithm approach. International Journal Of Advance Research And Innovative Ideas In Education, 5(5), 559-574.
Chicago Rakotomahefa Andriamirindra, Randimbindrainibe Falimanana, and Robinson Matio. "Solving scheduling problem with genetic algorithm approach." International Journal Of Advance Research And Innovative Ideas In Education 5, no. 5 (2019) : 559-574.
Oxford Rakotomahefa Andriamirindra, Randimbindrainibe Falimanana, and Robinson Matio. 'Solving scheduling problem with genetic algorithm approach', International Journal Of Advance Research And Innovative Ideas In Education, vol. 5, no. 5, 2019, p. 559-574. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Solving_scheduling_problem_with_genetic_algorithm_approach_ijariie10888.pdf (Accessed : 17 November 2024).
Harvard Rakotomahefa Andriamirindra, Randimbindrainibe Falimanana, and Robinson Matio. (2019) 'Solving scheduling problem with genetic algorithm approach', International Journal Of Advance Research And Innovative Ideas In Education, 5(5), pp. 559-574IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Solving_scheduling_problem_with_genetic_algorithm_approach_ijariie10888.pdf (Accessed : 17 November 2024)
IEEE Rakotomahefa Andriamirindra, Randimbindrainibe Falimanana, and Robinson Matio, "Solving scheduling problem with genetic algorithm approach," International Journal Of Advance Research And Innovative Ideas In Education, vol. 5, no. 5, pp. 559-574, Sep-Oct 2019. [Online]. Available: https://ijariie.com/AdminUploadPdf/Solving_scheduling_problem_with_genetic_algorithm_approach_ijariie10888.pdf [Accessed : 17 November 2024].
Turabian Rakotomahefa Andriamirindra, Randimbindrainibe Falimanana, and Robinson Matio. "Solving scheduling problem with genetic algorithm approach." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 5 number 5 (17 November 2024).
Vancouver Rakotomahefa Andriamirindra, Randimbindrainibe Falimanana, and Robinson Matio. Solving scheduling problem with genetic algorithm approach. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2019 [Cited : 17 November 2024]; 5(5) : 559-574. Available from: https://ijariie.com/AdminUploadPdf/Solving_scheduling_problem_with_genetic_algorithm_approach_ijariie10888.pdf
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