NISCAIR Online Periodicals Repository

Research Journals >
Journal of Scientific and Industrial Research (JSIR) >
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]

Files in This Item:

File Description SizeFormat
JSIR 67(2) (2008) 124-131.pdf338.69 kBAdobe PDFView/Open
 Current Page Visits: 993 
Recommend this item


Online Submission of Articles |  NISCAIR Website |  National Knowledge Resources Consortium |  Contact us |  Feedback

Disclaimer: NISCAIR assumes no responsibility for the statements and opinions advanced by contributors. The editorial staff in its work of examining papers received for publication is helped, in an honorary capacity, by many distinguished engineers and scientists.

CC License Except where otherwise noted, the Articles on this site are licensed under Creative Commons License: CC Attribution-Noncommercial-No Derivative Works 2.5 India

Copyright © 2015 The Council of Scientific and Industrial Research, New Delhi. All rights reserved.

Powered by DSpace Copyright © 2002-2007 MIT and Hewlett-Packard | Compliant to OAI-PMH V 2.0

Home Page Total Visits: 163731 since 01-Sep-2015  Last updated on 21-Jun-2016Webmaster: