A resource flow-based branch-and-bound algorithm to solve fuzzy stochastic resource-constrained project scheduling problem

In this paper, a resource flow-based branch-and-bound procedure is designed to solve the well-known resource-constrained project scheduling problem under the mixed uncertainty of fuzziness and randomness (FS-RCPSP). The objective is to minimize the expected makespan of the project subject to precede...

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Vydáno v:	Soft computing (Berlin, Germany) Ročník 25; číslo 22; s. 14315 - 14331
Hlavní autor:	Alipouri, Yaghoub
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Berlin/Heidelberg Springer Berlin Heidelberg 01.11.2021
Témata:	Artificial Intelligence Computational Intelligence Control Engineering Mathematical Logic and Foundations Mechatronics Optimization Robotics Branch-and-bound Resource-constrained project scheduling Fuzzy stochastic durations Resource flow
ISSN:	1432-7643, 1433-7479
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