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Paper itaec-2003-15:
Resource-constrained scheduling of construction projects using genetic algorithms

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Senouci A B, Naji K K

Resource-constrained scheduling of construction projects using genetic algorithms

Abstract: This paper presents an augmented Lagrangian genetic algorithm model for resourceconstrained scheduling of construction projects considering precedence relationships, multiple crew-strategies, and time-cost trade-off. The proposed model, which considers both resource-constrained scheduling and project total cost minimization, uses the quadratic penalty function to transform the constrained resource scheduling problem to an unconstrained one. The algorithm is general and can be applied to a broad class of optimization problems. Three illustrative examples are presented to demonstrate the performance of the proposed method.

Keywords: Resources, resource-constrained scheduling, genetic algorithms, total cost minimization, time-cost trade-off, precedence-relationships, crew-strategies, linear programming, mathematical programming.

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