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

DOI

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.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - JOUR
AU  - Bhupendra Kumar Pathak
AU  - Sanjay Srivastava
PY  - 2014
DA  - 2014/06/01
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  - 10.1080/18756891.2014.891368
ID  - Pathak2014
ER  -