Schedule Shaper Using “Genetic Algorithm”

  • Unique Paper ID: 163240
  • Volume: 10
  • Issue: 11
  • PageNo: 2036-2038
  • Abstract:
  • For educators, creating time tables is a laborious task that requires a lot of manpower and time. It will be easier to generate time tables automatically if an automatic time table generator is available. Our project's proposed system will aid in its automatic generation and time-saving. The intricacy of establishing and overseeing timetable manually. We plan to employ resource scheduling, heuristic, and genetic algorithms in our project to lessen the challenges associated with creating timetables. Several strategies are incorporated into these algorithms with the goal of making the search process more efficient. The number of subjects, teachers, workload of a teacher, semester, and subject priority are just a few of the inputs that the system will receive. It will produce potential schedules for the working days of the week for teaching faculty based on these inputs. This will integrate by utilising all resources as efficiently as possible while taking into account the limitations.

Copyright & License

Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{163240,
        author = {SHAMAL BAGDE  and Minal Sonsare  and Ujjwal Thakre and Shreyash Khanzode and Sameer Bisen and Supriya Jawale and Girish Umaratkar},
        title = {Schedule Shaper Using “Genetic Algorithm”},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {11},
        pages = {2036-2038},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=163240},
        abstract = {For educators, creating time tables is a laborious task that requires a lot of manpower and time. It will be easier to generate time tables automatically if an automatic time table generator is available. Our project's proposed system will aid in its automatic generation and time-saving. The intricacy of establishing and overseeing timetable manually. We plan to employ resource scheduling, heuristic, and genetic algorithms in our project to lessen the challenges associated with creating timetables. Several strategies are incorporated into these algorithms with the goal of making the search process more efficient. The number of subjects, teachers, workload of a teacher, semester, and subject priority are just a few of the inputs that the system will receive. It will produce potential schedules for the working days of the week for teaching faculty based on these inputs. This will integrate by utilising all resources as efficiently as possible while taking into account the limitations.},
        keywords = {},
        month = {},
        }

Cite This Article

  • ISSN: 2349-6002
  • Volume: 10
  • Issue: 11
  • PageNo: 2036-2038

Schedule Shaper Using “Genetic Algorithm”

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