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Arditi, D, Elhassan, A and Toklu, Y C (2002) Constructability Analysis in the Design Firm. Journal of Construction Engineering and Management, 128(02), 117–26.

Battikha, M G (2002) QUALICON: Computer-Based System for Construction Quality Management. Journal of Construction Engineering and Management, 128(02), 164–73.

Fredericks, T, Abudayyeh, O, Palmquist, M and Torres, H N (2002) Mechanical Contracting Safety Issues. Journal of Construction Engineering and Management, 128(02), 186–93.

Glagola, C R and Sheedy, W M (2002) Partnering on Defense Contracts. Journal of Construction Engineering and Management, 128(02), 127–38.

Gomar, J E, Haas, C T and Morton, D P (2002) Assignment and Allocation Optimization of Partially Multiskilled Workforce. Journal of Construction Engineering and Management, 128(02), 103–9.

Hajjar, D and AbouRizk, S M (2002) Unified Modeling Methodology for Construction Simulation. Journal of Construction Engineering and Management, 128(02), 174–85.

Kumaraswamy, M M and Morris, D A (2002) Build-Operate-Transfer-Type Procurement in Asian Megaprojects. Journal of Construction Engineering and Management, 128(02), 93–102.

Kwak, Y H (2002) Analyzing Asian Infrastructure Development Privatization Market. Journal of Construction Engineering and Management, 128(02), 110–6.

Que, B C (2002) Incorporating Practicability into Genetic Algorithm-Based Time-Cost Optimization. Journal of Construction Engineering and Management, 128(02), 139–43.

  • Type: Journal Article
  • Keywords: Optimization; Scheduling; Construction management; Algorithms; Project management; cost optimal control; scheduling; construction industry; project management; genetic algorithms; optimisation; civil engineering;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(2002)128:2(139)
  • Abstract:
    Optimization problems in construction scheduling, such as time-cost optimization, can be effectively solved using genetic algorithms (GAs). This paper presents an approach that makes GA-based time-cost optimization viable for real world problems. Practicability is incorporated through the integration of a project management system to the GA system. The approach takes advantage of the powerful scheduling functionality of the project management system in evaluating project completion dates during optimization. The approach ensures that all scheduling parameters, including activity relationships, lags, calendars, constraints, resources, and progress, are considered in determining the project completion date, thus allowing comprehensive and realistic evaluations to be made during optimization.

Thomas, H R, Horman, M J, de Souza, U E L and ZavÅ™ski, I (2002) Reducing variability to improve performance as a lean construction principle. Journal of Construction Engineering and Management, 128(02), 144–54.

Zhang, X Q, Kumaraswamy, M M, Zheng, W and Palaneeswaran, E (2002) Concessionaire Selection for Build-Operate-Transfer Tunnel Projects in Hong Kong. Journal of Construction Engineering and Management, 128(02), 155–63.