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Aalto, L, Sirola, P, Kalliomäki-Levanto, T, Lahtinen, M, Ruohomäki, V, Salonen, H and Reijula, K (2019) User-centric work environments in modular healthcare facilities. Engineering, Construction and Architectural Management, 26(06), 1047–62.

Chapman, C and Ward, S (2008) Developing and implementing a balanced incentive and risk sharing contract. Construction Management and Economics, 26(06), 659–69.

Chinyio, E and Akintoye, A (2008) Practical approaches for engaging stakeholders: findings from the UK. Construction Management and Economics, 26(06), 591–9.

Daniel, E I and Pasquire, C (2019) Creating social value within the delivery of construction projects: the role of lean approach. Engineering, Construction and Architectural Management, 26(06), 1105–28.

Du, J, Wang, Q and Shi, Q (2019) Description–experience gap under imperfect information. Engineering, Construction and Architectural Management, 26(06), 1151–70.

Edwards, P and Bowen, P (2019) Language and communication issues in HIV/AIDS intervention management in the South African construction industry. Engineering, Construction and Architectural Management, 26(06), 962–88.

Fraser, C and Zhu, C (2008) Stakeholder perception of construction site managers' effectiveness. Construction Management and Economics, 26(06), 579–90.

Galbraith, G H, McLean, R C, Gillespie, I, Guo, J S and Kelly, D (1998) Non-isothermal moisture diffusion in porous building materials. Building Research & Information, 26(06), 330–9.

Layzell, J and Ledbetter, S (1998) FMEA applied to cladding systems: reducing the risk of failure. Building Research & Information, 26(06), 351–7.

Li, H, Love, P E D and Ogunlana, S (1998) Genetic algorithm compared to non-linear optimization for labour and equipment assignment. Building Research & Information, 26(06), 322–9.

  • Type: Journal Article
  • Keywords: equipment; genetic algorithm; labour; non-linear optimization; site operation
  • ISBN/ISSN: 0961-3218
  • URL: http://journalsonline.tandf.co.uk/link.asp?id=x43klj266u28x9c2
  • Abstract:
    The genetic algorithm is a technique based on evolutionary optimization. A methodology for optimizing labour and equipment assignment using the genetic algorithm is presented. A number of modifications are introduced to the three operators of the genetic algorithm, namely, reproduction, crossover and mutation. Results from the genetic algorithm are compared to the nonlinear optimization technique in solving the labour and equipment assignment problem. A comparison of the two techniques indicates that the genetic algorithm has the capacity to ensure a global optimal solution. However, its computational operations take longer than the nonlinear optimization technique in obtaining near-optimal or optimal solutions.

Li, L, Li, Z, Li, X and Wu, G (2019) A review of global lean construction during the past two decades: analysis and visualization. Engineering, Construction and Architectural Management, 26(06), 1192–216.

Lingard, H, Zhang, R P and Oswald, D (2019) Effect of leadership and communication practices on the safety climate and behaviour of construction workgroups. Engineering, Construction and Architectural Management, 26(06), 886–906.

Mathur, V N, Price, A and Austin, S (2008) Conceptualizing stakeholder engagement in the context of sustainability and its assessment. Construction Management and Economics, 26(06), 601–9.

Moodley, K, Smith, N and Preece, C N (2008) Stakeholder matrix for ethical relationships in the construction industry. Construction Management and Economics, 26(06), 625–32.

Munir, M, Kiviniemi, A and Jones, S W (2019) Business value of integrated BIM-based asset management. Engineering, Construction and Architectural Management, 26(06), 1171–91.

Ngowi, A B (1998) Is construction procurement a key to sustainable development?. Building Research & Information, 26(06), 340–50.

Olander, S and Landin, A (2008) A comparative study of factors affecting the external stakeholder management process. Construction Management and Economics, 26(06), 553–61.

Rowlinson, S and Cheung, Y K F (2008) Stakeholder management through empowerment: modelling project success. Construction Management and Economics, 26(06), 611–23.

Seadon, J and Tookey, J E (2019) Drivers for construction productivity. Engineering, Construction and Architectural Management, 26(06), 945–61.

Shalaby, A and Hassanein, A (2019) A decision support system (DSS) for facilitating the scenario selection process of the renegotiation of PPP contracts. Engineering, Construction and Architectural Management, 26(06), 1004–23.

Shrestha, K, Shrestha, P P and Lidder, M (2019) Life-cycle cost comparison of chip seal and striping: in-house workers versus private contractors. Engineering, Construction and Architectural Management, 26(06), 927–44.

Shrestha, P P, Shrestha, K K and Zeleke, H B (2019) Probability of change orders and the effect on cost and schedule for new public school buildings. Engineering, Construction and Architectural Management, 26(06), 1087–104.

Shurrab, J, Hussain, M and Khan, M (2019) Green and sustainable practices in the construction industry. Engineering, Construction and Architectural Management, 26(06), 1063–86.

Smyth, H (2008) The credibility gap in stakeholder management: ethics and evidence of relationship management. Construction Management and Economics, 26(06), 633–43.

Walker, D, Bourne, L M and Shelley, A (2008) Influence, stakeholder mapping and visualization. Construction Management and Economics, 26(06), 645–58.

Wang, Q and Shi, Q (2019) The incentive mechanism of knowledge sharing in the industrial construction supply chain based on a supervisory mechanism. Engineering, Construction and Architectural Management, 26(06), 989–1003.

Ward, S and Chapman, C (2008) Stakeholders and uncertainty management in projects. Construction Management and Economics, 26(06), 563–77.

Yalcinkaya, M and Singh, V (2019) Exploring the use of Gestalt’s principles in improving the visualization, user experience and comprehension of COBie data extension. Engineering, Construction and Architectural Management, 26(06), 1024–46.

Zhu, F, Sun, M, Wang, L, Sun, X and Yu, M (2019) Value conflicts between local government and private sector in stock public-private partnership projects. Engineering, Construction and Architectural Management, 26(06), 907–26.

Zohrehvandi, S and Khalilzadeh, M (2019) APRT-FMEA buffer sizing method in scheduling of a wind farm construction project. Engineering, Construction and Architectural Management, 26(06), 1129–50.