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Q1(Year 2015)
ISSN : 1026-3098
e-ISSN : 2345-3605
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Publication Information : Volume 23 - Number 1 - Successive Number 1
Type : Article
Topics of Paper : Transaction on Industrial Engineering
English Title : Population-based metaheuristics for R&D project scheduling problems under activity failure risk
English Abstract : In this paper, we study scheduling of R&D projects in which activities may to be failed due to the technological risks. We consider two introduced problems in the literature referred to as R&D Project Scheduling Problem (RDPSP) and Alternative Technologies Project Scheduling Problem (ATPSP). In the both problems, the goal is the maximization of the expected net present value of activities where activities are precedence related and each of them is accompanied with a cost, a duration and a probability of technical success. In RDPSP, a project payoff is obtained if all activities are succeeded while in ATPSP, if one of activities is implemented successfully, the project payoff is attained. We developed a solution representation for each of these problems and developed two population-based metaheuristics including scatter search algorithm and genetic algorithm as solution approaches. Computational experiments indicate scatter search outperforms genetic algorithm and also available exact solution algorithms.
English Keywords : Project scheduling; risk; scatter search, genetic algorithm
Refrences :
Number Of Pages :
From 374 to 386


Authors :
The AuthorAuthor SequenceOrganizationOrganization ( english )AffiliationEmailEducation
Dr. Mohammad Ranjbar
(Author)
1Department of Industrial Engineering, Faculty of Engineering, Ferdowsi University of Mashhad, Mashhad, Iran associate professorm_ranjbar@um.ac.ir 
Hamidreza Validi 2Department of Industrial Engineering, Faculty of Engineering, Ferdowsi University of Mashhad, Mashhad, Iran  hamidreza.validi2@gmail.com 
Ramin Fakhimi 3Department of Industrial Engineering, Faculty of Engineering, Ferdowsi University of Mashhad, Mashhad, Iran  fakhimi.ramin@gmail.com 
Published Issues
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Transactions on Civil Engineering
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Transactions on Industrial Engineering
2016
2015
Transactions on Civil Engineering
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Transactions on Chemistry and Chemical Engineering
Transactions on Computer Science & Engineering and Electrical Engineering
Transactions on Industrial Engineering
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2014
Transactions on Civil Engineering
Transactions on Mechanical Engineering
Transactions on Chemistry and Chemical Engineering
Transactions on Computer Science & Engineering and Electrical Engineering
Transactions on Industrial Engineering
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2013
Transactions on Civil Engineering
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Transactions on Chemistry and Chemical Engineering
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Transactions on Industrial Engineering
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