Abstract
The problem of the time-optimal allocation of multiple-constrained resources among dependent operations is considered for the case when operation models are given in the form of differential equations relating operation performance speed to amounts of resources allotted. An approach is presented which permits the problem to be reduced to a mathematical programming one and enables a proper insight to be obtained into the properties of optimal solutions.
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Bubnicki, Z.: Optimal control of a complex of operations with random parameters, Podstawy Sterowania 1 /1971/,3–10.
Burkov, V.N.: Optimal control of a complex of operations,/Russian/IV Congress of IFAC, Technical Session 35, Warsaw, 1969, 46–57.
Słowiński, R.: Optimal Control of Multiple-Resource Allocation in a Complex of Operations, /Polish/ unpublished doctoral dissertation, Technical University of Poznan, 1977.
Węglarz, J., Słowiński, R.: Computational aspects of a certain class of time-optimal resource allocation problems in a complex of operations, Foundations of Control Engineering 1 /1976/, 123–133.
Węglarz, J.: Application of the convex sets theory in a certain problem of time-optimal control of a complex of operations, Systems Science 1 /1975/,67–74.
Węglarz, J.: Time-optimal control of resource allocation in a complex of operations framework, IEEE Trans. Systems, Man and Cybernet., SMC-6, 11/1976/,783–788.
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© 1978 Springer-Verlag
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Słowiński, R., Węglarz, J. (1978). Solving the general project scheduling problem with multiple constrained resources by mathematical programming. In: Stoer, J. (eds) Optimization Techniques. Lecture Notes in Control and Information Sciences, vol 7. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0006533
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DOI: https://doi.org/10.1007/BFb0006533
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