International Journal of Computational Intelligence Systems

Volume 7, Issue 3, June 2014, Pages 456 - 471

Integrated ANN-HMH Approach for Nonlinear Time-Cost Tradeoff Problem

Authors
Bhupendra Kumar Pathak, Sanjay Srivastava
Corresponding Author
Bhupendra Kumar Pathak
Received 11 May 2012, Accepted 20 December 2013, Available Online 1 June 2014.
DOI
https://doi.org/10.1080/18756891.2014.891368How to use a DOI?
Keywords
Artificial Neural Network (ANN), Hybrid Meta-Heuristic (HMH), Time-Cost Tradeoff (TCT)
Abstract
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.
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This is an open access article distributed under the CC BY-NC license.

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
7 - 3
Pages
456 - 471
Publication Date
2014/06
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
https://doi.org/10.1080/18756891.2014.891368How to use a DOI?
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  -