Comparative Study of Recent Swarm Algorithms for Continuous Optimization

Indramaya, Ending; Suyanto, Suyanto

doi:10.1016/j.procs.2021.01.056

Cited by 3 publications

(1 citation statement)

References 18 publications

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“…The seen space of a timetabling issue is as well perpetual, various courses of action exist inside the seen space and few of them are not doable. Achievable arrangements here cruel those which do not abuse difficult goals and as well endeavor to fulfill fragile confinements [8]. We have to select the preeminent fitting one from feasible courses of action.…”

Section: Iiliterature Review Time Tablementioning

confidence: 99%

Automatic Timetable Generator Using Genetic Algorithm

Prabhakaran,

Shanmugam,

Karunakaran

et al. 2023

Advances in Computer Science Research

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Timetable creation could be a very difficult and time-engrossing function. Forming a timetable takes parts of tolerance and hours. Time table is created for different purposes like organizing schools and colleges, making time charts for preparation and transport plans, and numerous more. Creating a timetable requires considerable time and supervision. In our paper, we have seeks to shrink these challenges of creating a timetable by Genetic algorithm. By utilizing genetic algorithms, are ready to develop a schedule that is more accurate, exact, and free of human errors while also reducing the time needed to do so. The elementary stage is made up of all the common compulsory classes that have been developed and organized by a centralized body. The individual's departmental courses are found in the next phase. Directly this timetable is ready physically, by controlling those of prior a long time, with the as it were the point of creating a realistic timetable.

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Section: Iiliterature Review Time Tablementioning

confidence: 99%