Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
October 15, 2025International Journal For Multidisciplinary ResearchOpen Access

Timetable Generator Using Genetic Algorithm and Constraint Satisfaction Problem

View Full Paper
Ask AI
Bookmark
Share

Authors

BMBincy ManuelVMV.C. Jagan Mohan

Discussion

Loading...

Member takes

Overview

This system utilizes optimization algorithms to improve timetable accuracy in academic institutions, addressing scheduling conflicts and faculty availability.

Key Points

  • The automatic timetable generator effectively reduces time and errors in academic scheduling, improving overall efficiency.
  • Using a hybrid CSP-GA framework, the system ensures feasibility while optimizing timetable arrangements.
  • It incorporates both hard constraints like faculty availability and room capacity, and soft constraints like minimizing idle time.
  • The algorithm's flexible design enables it to generate efficient timetables for institutions of various sizes and complexities.

Cite This Study

Manuel et al. (2025) studied this question.

synapsesocial.com/papers/68efbd16d61273c8652d7ffdhttps://doi.org/10.36948/ijfmr.2025.v07i05.57472
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Automated Timetable Generation System Using Constraint Satisfaction and Genetic Algorithm.2026
  2. 2Automated Time – Table Generator Using Genetic Algorithm2024
  3. 3Revolutionizing Scheduling: A Comprehensive Analysis of Automated Timetabling Solution2024 · 1 citations
  4. 4An Optimized Machine Learning Model for Automating Academic Scheduling2025
  5. 5Schedulify: A Hybrid Approach for Automated University Timetable Generation2026