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Cheng, E W L and Li, H (2006) Job Performance Evaluation for Construction Companies: An Analytic Network Process Approach. Journal of Construction Engineering and Management, 132(08), 827–35.

Cheung, S O, Yiu, T W and Yeung, S F (2006) A Study of Styles and Outcomes in Construction Dispute Negotiation. Journal of Construction Engineering and Management, 132(08), 805–14.

Chung, T H, Mohamed, Y and AbouRizk, S (2006) Bayesian Updating Application into Simulation in the North Edmonton Sanitary Trunk Tunnel Project. Journal of Construction Engineering and Management, 132(08), 882–94.

de la Cruz, M P, del Caño, A and de la Cruz, E (2006) Downside Risks in Construction Projects Developed by the Civil Service: The Case of Spain. Journal of Construction Engineering and Management, 132(08), 844–52.

Iyer, K C and Jha, K N (2006) Critical Factors Affecting Schedule Performance: Evidence from Indian Construction Projects. Journal of Construction Engineering and Management, 132(08), 871–81.

JaÅ›kowski, P and Sobotka, A (2006) Scheduling Construction Projects Using Evolutionary Algorithm. Journal of Construction Engineering and Management, 132(08), 861–70.

  • Type: Journal Article
  • Keywords: Scheduling; Project management; Algorithms; Construction management;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(2006)132:8(861)
  • 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.

Kaiser, M J and Iledare, W O (2006) The Gulf of Mexico Decommissioning Market. Journal of Construction Engineering and Management, 132(08), 815–26.

Perttula, P, Korhonen, P, Lehtelä, J, Rasa, P, Kitinoja, J, Mäkimattila, S and Leskinen, T (2006) Improving the Safety and Efficiency of Materials Transfer at a Construction Site by Using an Elevator. Journal of Construction Engineering and Management, 132(08), 836–43.

Touran, A and Lopez, R (2006) Modeling Cost Escalation in Large Infrastructure Projects. Journal of Construction Engineering and Management, 132(08), 853–60.

Waara, F and Bröchner, J (2006) Price and Nonprice Criteria for Contractor Selection. Journal of Construction Engineering and Management, 132(08), 797–804.