TECHNICAL PAPERS
Aug 1, 2006

Scheduling Construction Projects Using Evolutionary Algorithm

Publication: Journal of Construction Engineering and Management
Volume 132, Issue 8

Abstract

This paper attempts to use evolutionary algorithms to solve the problem of minimizing construction project duration in deterministic conditions, with in-time changeable and limited accessibility of renewable resources (workforce, machines, and equipment). Particular construction processes (with various levels of complexity) must be conducted in the established technological order and can be executed with different technological and organizational variants (different contractors, technologies, and ways of using resources). Such a description of realization conditions allows the method to also be applied to solving more complex problems that occur in construction practice (e.g., scheduling resources for a whole company, not only for a single project). The method’s versatility distinguishes it from other approaches presented in numerous publications. To assess the solutions generated by the evolutionary algorithm, the writers worked a heuristic algorithm (for the allocation of resources and the calculation of the shortest project duration). The results obtained by means of this methodology seem to be similar to outcomes of other comparable methodologies. The proposed methodology (the model and the computer system) may be of great significance to the construction industry. The paper contains some examples of the practical use of the evolutionary algorithm for project planning with time constraints.

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Information & Authors

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Published In

Go to Journal of Construction Engineering and Management
Journal of Construction Engineering and Management
Volume 132Issue 8August 2006
Pages: 861 - 870

History

Received: Jul 25, 2003
Accepted: Jan 3, 2006
Published online: Aug 1, 2006
Published in print: Aug 2006

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Authors

Affiliations

Piotr Jaśkowski [email protected]
Faculty of Civil and Sanitary Engineering, Lublin Univ. of Technology, ul. Nadbystrzycka 40, 20-618 Lublin, Poland. E-mail: [email protected]
Anna Sobotka [email protected]
Associate Professor, Faculty of Mining and Geoengineering, AGH Univ. of Science and Technology, ul. Mickiewicza 30, 30-059 Krakow, Poland. E-mail: [email protected]

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