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|Title:||Multiobjective resource-constrained project scheduling with a time-varying number of tasks|
|Citation:||The Scientific World Journal, 2014; 2014:420101-1-420101-35|
|Publisher:||Hindawi Publishing Corporation|
|Manuel Blanco Abello and Zbigniew Michalewicz|
|Abstract:||In resource-constrained project scheduling (RCPS) problems, ongoing tasks are restricted to utilizing a fixed number of resources. This paper investigates a dynamic version of the RCPS problem where the number of tasks varies in time. Our previous work investigated a technique called mapping of task IDs for centroid-based approach with random immigrants (McBAR) that was used to solve the dynamic problem. However, the solution-searching ability of McBAR was investigated over only a few instances of the dynamic problem. As a consequence, only a small number of characteristics of McBAR, under the dynamics of the RCPS problem, were found. Further, only a few techniques were compared to McBAR with respect to its solution-searching ability for solving the dynamic problem. In this paper, (a) the significance of the subalgorithms of McBAR is investigated by comparing McBAR to several other techniques; and (b) the scope of investigation in the previous work is extended. In particular, McBAR is compared to a technique called, Estimation Distribution Algorithm (EDA). As with McBAR, EDA is applied to solve the dynamic problem, an application that is unique in the literature.|
Personnel Staffing and Scheduling
|Rights:||© 2014 Manuel Blanco Abello and Zbigniew Michalewicz.|
|Appears in Collections:||Aurora harvest 2|
Computer Science publications
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