Research Article
Sep 1973
Optimal Sequencing of Capacity Expansion Projects
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VIEW THE REPLYPublication: Journal of the Hydraulics Division
Volume 99, Issue 9
Abstract
The solution of multidimensional sequencing problems encountered in the planning of capacity expansion in large-scale water resources systems by an especially efficient dynamic programming algorithm is presented. The dynamic programming algorithm results couples on the optimality of permutation schedules with the imbedded state space concept in order to effect a drastic reduction of dimensionality making it possible to efficiently solve problems of the dimension encountered in real-world water resource systems. Computational experience with the imbedded state space dynamic programming algorithm on the solution of a number of two- and three-dimensional sequencing problems from several real-world water resources systems is reported. Furthermore, the results of a sensitivity analysis on these data are also presented.
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Journal of the Hydraulics Division
Volume 99 • Issue 9 • September 1973
Pages: 1605 - 1622
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© 1973 American Society of Civil Engineers.
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Published in print: Sep 1973
Published online: Feb 3, 2021
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Thomas L. Morin, AM.ASCE
Asst. Prof. of Industrial Engrg. and Mgmt. Sci., and Member, Urban Systems Engrg. Ctr., Northwestern Univ., Evanston, Ill
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Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.