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JSIR Vol.67 [2008] >
JSIR Vol.67(02) [February 2008] >
| Title: | Neural network embedded multiobjective genetic algorithm to solve non-linear time-cost tradeoff problems of project scheduling |
| Authors: | Pathak, Bhupendra Kumar
Srivastava, Sanjay
Srivastava, Kamal |
| Keywords: | Artificial neural network
Multiobjective genetic algorithm
Project scheduling
Time-cost tradeoff (TCT) |
| Issue Date: | Feb-2008 |
| Publisher: | CSIR |
| Abstract: | This paper presents a novel method to solve non-linear time-cost tradeoff (TCT) problem of real world engineering
projects. Multiobjective genetic algorithm (MOGA) is employed to search for optimal TCT profile. Applicability of ANN
based model for rapid estimation of time-cost relationship by invoking its function approximation capability is investigated.
ANN models are then integrated with MOGA so as to develop a comprehensive approach to solve non-linear TCT problems of
project scheduling. The study has implications in real time monitoring and control of project scheduling process. |
| Page(s): | 124-131 |
| ISSN: | 0022-4456 |
| Source: | JSIR Vol.67(02) [February 2008]
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