Volume 7, Issue 3, June 2014, Pages 456 - 471
Integrated ANN-HMH Approach for Nonlinear Time-Cost Tradeoff Problem
Bhupendra Kumar Pathak, Sanjay Srivastava
Bhupendra Kumar Pathak
Received 11 May 2012, Accepted 20 December 2013, Available Online 1 June 2014.
- https://doi.org/10.1080/18756891.2014.891368How to use a DOI?
- Artificial Neural Network (ANN), Hybrid Meta-Heuristic (HMH), Time-Cost Tradeoff (TCT)
- This paper presents an integrated Artificial Neural Network - Hybrid Meta Heuristic(ANN-HMH) method to solve the nonlinear time-cost tradeoff(TCT) problem of real life engineering projects. ANN models help to capture the existing nonlinear time-cost relationship in project activities. ANN models are then integrated with HMH technique to search for optimal TCT profile. HMH is a proven evolutionary multiobjective optimization technique for solving TCT problems. The study has implication in real time monitoring and control of project scheduling processes.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - JOUR AU - Bhupendra Kumar Pathak AU - Sanjay Srivastava PY - 2014 DA - 2014/06 TI - Integrated ANN-HMH Approach for Nonlinear Time-Cost Tradeoff Problem JO - International Journal of Computational Intelligence Systems SP - 456 EP - 471 VL - 7 IS - 3 SN - 1875-6883 UR - https://doi.org/10.1080/18756891.2014.891368 DO - https://doi.org/10.1080/18756891.2014.891368 ID - Pathak2014 ER -