An efficient genetic algorithm to maximize net present value of project payments under inflation and bonus–penalty policy in resource investment problem-Reference-Cited by-同舟云学术

An efficient genetic algorithm to maximize net present value of project payments under inflation and bonus–penalty policy in resource investment problem

Published:2010-07 Issue:7-8 Volume:41 Page:1023-1030
ISSN:0965-9978
Container-title:Advances in Engineering Software
language:en
Short-container-title:Advances in Engineering Software

Author:

Shahsavar Moslem,Niaki Seyed Taghi Akhavan,Najafi Amir Abbas

Publisher

Elsevier BV

Subject

General Engineering,Software

Reference21 articles.

1. Minimizing costs of resource requirements in project networks subject to a fix completion time;Mohring;Oper Res Int J,1984

2. Minimizing resource availability costs in time limited project networks;Demeulemeester;Manag Sci,1995

3. A branch-and-bound procedure for the multiple resource-constrained project scheduling problem;Demeulemeester;Manag Sci,1992

4. Optimization guided lower & upper bounds for the resource investment problem;Drexl;J Oper Res Soc,2001

5. Optimal resource determination for project scheduling;Akpan;Prod Plan Control,1997

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