Research output: Contribution to journal › Article › peer-review
Tropical optimization problems in time-constrained project scheduling. / Krivulin, N.
In: Optimization, Vol. 66, No. 2, 2017, p. 205-224.Research output: Contribution to journal › Article › peer-review
}
TY - JOUR
T1 - Tropical optimization problems in time-constrained project scheduling
AU - Krivulin, N.
PY - 2017
Y1 - 2017
N2 - We consider a project that consists of activities to be performed in parallel under various temporal constraints, which include start-start, start-finish and finish-start precedence relationships, release times, deadlines and due dates. Scheduling problems are formulated to find optimal schedules for the project with respect to different objective functions to be minimized, such as the project makespan, the maximum deviation from the due dates, the maximum flow-time and the maximum deviation of finish times. We represent these problems as optimization problems in terms of tropical mathematics, and then solve them by applying direct solution methods of tropical optimization. As a result, new direct solutions of the scheduling problems are obtained in a compact vector form, which is ready for further analysis and practical implementation. The solutions are illustrated by simple numerical examples.
AB - We consider a project that consists of activities to be performed in parallel under various temporal constraints, which include start-start, start-finish and finish-start precedence relationships, release times, deadlines and due dates. Scheduling problems are formulated to find optimal schedules for the project with respect to different objective functions to be minimized, such as the project makespan, the maximum deviation from the due dates, the maximum flow-time and the maximum deviation of finish times. We represent these problems as optimization problems in terms of tropical mathematics, and then solve them by applying direct solution methods of tropical optimization. As a result, new direct solutions of the scheduling problems are obtained in a compact vector form, which is ready for further analysis and practical implementation. The solutions are illustrated by simple numerical examples.
KW - idempotent semifield
KW - optimization problem
KW - project scheduling
KW - precedence relationship
KW - scheduling objective
UR - https://arxiv.org/abs/1502.06222
U2 - 10.1080/02331934.2016.1264946
DO - 10.1080/02331934.2016.1264946
M3 - Article
VL - 66
SP - 205
EP - 224
JO - Optimization
JF - Optimization
SN - 0233-1934
IS - 2
ER -
ID: 7733254