Domain transformation approach: Optimizing the preference-based conference schedules via room sharing matrix

Jaafar, S. N; Rahim, Siti Khatijah Nor Abdul; Omar, Nasiroh; Masrom, Suraya; Jaafar, Amir Hamzah

doi:10.1109/icsengt.2017.8123425

Cited by 2 publications

(2 citation statements)

References 6 publications

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“…Since most of the methods are not so consistent and cannot guarantee feasible solutions, motivated by domain transformation approach (DTA) [11], [20], [22]- [24], which managed to produce encouraging results in many resources scheduling areas as mentioned in the literature, therefore, DTA will be employed in this study to solve the resource scheduling problem as the DTA method would simplify the data and then obtain new knowledge. Baskaran [10] was using DTA to simplify a complex problem, which can be applied in this project in the pre-processing stage.…”

Section: Methodsmentioning

confidence: 99%

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Dynamic domain transformation resource scheduling approach: water irrigation scheduling for urban farming

Amerudin

Rahim

Omar

et al. 2022

IJ-AI

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<p>Scheduling resources under limited resources using tailored approaches can be done successfully. However, there are situations and problems that require a schedule to handle uncertainties dynamically. The changes in the environment could lead to a non-optimal schedule, which could lead to the wastage of resources. The infeasible schedule could also be an outcome of changes that would render the schedule obsolete, and a new schedule must be generated. The majority of the scheduling problems are solved by a heuristic approach that utilizes a random number generator, thus the outcome is not guaranteed to be optimal. Domain transformation approach (DTA) is a scheduling methodology that has confirmed its expressive power in producing feasible and good quality schedules through avoidance of randomness elements as highly used in heuristic approaches. DTA has been employed in this study to solve the water irrigation scheduling for urban farming. The proposed model was tested on three different datasets. It was observed that the costs obtained on all datasets without utilizing the dynamic DTA are higher in all instances, which indicates that the solution produced by DTA is of higher quality. Thus, dynamic DTA is a more effective way of scheduling resources with considering ad-hoc changes.</p>

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Section: Methodsmentioning

confidence: 99%

“…Considering a few past studies that proved DTA was capable and produced more feasible results [11], [20], [22], it is wise to further enhance the resource scheduling model to one level ahead. Through DTA, the original problem domain will be transformed into a much simpler domain that is easy to solve.…”

Section: Methodsmentioning

confidence: 99%

Dynamic domain transformation resource scheduling approach: water irrigation scheduling for urban farming

Amerudin

Rahim

Omar

et al. 2022

IJ-AI

Self Cite

View full text Add to dashboard Cite

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Matching and Scheduling of Student-Company-Talks for a University IT-Speed Dating Event

2022

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In this paper, the IT-speed dating of a German university is considered, where students have talks with different companies in order to find a suitable internship. The goal is to create a good and fair matching of students and companies for these talks, based on student preferences, and to schedule the resulting talks in order to maintain the given time horizon and minimize the necessary room changes for the students. We solved the problem in two steps. First, we modeled the matching problem as an extended version of the capacitated transportation problem and solved it using a modified stepping stone method. Second, we present two approaches to solve the scheduling problem. A Monte Carlo tree search procedure generates time-constrained schedules with minimal duration, while a genetic algorithm generates longer schedules with individual pauses and fewer room changes. The approaches led to significantly more talks with valuable content, a shorter duration, and greater satisfaction of all participants.

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Domain transformation approach: Optimizing the preference-based conference schedules via room sharing matrix

Cited by 2 publications

References 6 publications

Dynamic domain transformation resource scheduling approach: water irrigation scheduling for urban farming

Dynamic domain transformation resource scheduling approach: water irrigation scheduling for urban farming

Matching and Scheduling of Student-Company-Talks for a University IT-Speed Dating Event

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