Krisztián Mihály, Gyula Kulcsár, and Mónika Kulcsárné-Forrai

Performance Evaluation of MOSM Method on Resource-Constrained Multi-Objective MultiProject Scheduling Problems

This paper presents an extended model to address complicated projects scheduling challenges, which deals with diverse resource  projects, and tasks characterized by unique attributes, interdependencies, and constraints. Moreover, the model can accommodate a variable system of various objective functions, whose elements can include customized optimization direction and priority value. To tackle these extended problems, we define an optimization model and apply a novel decisionmaking framework, which integrates metaheuristic search strategies, constructive algorithms, and multi-objective relative comparison models. Measurements were executed on created multi-objective resource-constrained multi-project scheduling to evaluate the performance of the proposed method. A new test problem containing 20 projects has been developed. The J30 series from the PSLIB benchmark set were utilized and we defined deadlines for selected projects. During the tests, 6 objective functions were investigated. The priorities of these objective functions were adjusted prior to each examination. In this paper the results of these performance tests are summarized. The obtained results demonstrate that the proposed method is effectively capable of solving multi-objective, multi-project scheduling problems.

Reference:

DOI:  10.36244/ICJ.2025.5.7

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Please cite this paper the following way:

Krisztián Mihály, Gyula Kulcsár, and Mónika Kulcsárné-Forrai, "Performance Evaluation of MOSM Method on Resource-Constrained Multi-Objective MultiProject Scheduling Problems", Infocommunications Journal, Special Issue on AI Transformation, 2025, pp. 53-60, https://doi.org/10.36244/ICJ.2025.5.7