A Competitive Nature-Inspired Cuckoo Search Algorithm for Solving the Resource Constrained Project Scheduling Problem

Seyed Taha Hossein Mortaji () and Mohammadreza Hosseinzadeh ()

International Journal of Innovation in Engineering, 2021, vol. 1, issue 3, 48-64

Abstract: Since its advent, the resource constrained project scheduling problem has been a favorite NP-Hard problem studied by many researchers. In this paper, we examine this problem with a focus on the total project time minimization, usually known as the makespan minimization. To this end, a nature-inspired Cuckoo Search Algorithm (CSA) has been introduced that works by simulating the brooding parasitism of some cuckoo birds in nature. In a nutshell, the proposed cuckoo search algorithm has two main capabilities including: a) a global random search using Levy flights, and b) a local random refinement strategy. In addition, a double justification method has been employed to improve the generated solutions. Simultaneous use of these features can maximize the efficiency of resource searches in uncertain environments. Experimental results on the standard J30, J60, and J120 test sets from the PSPLIB are also presented, showing that the CSA has satisfying results compared with the other well-reported algorithms.

Keywords: Resource Constrained Project Scheduling; Meta-heuristics; Cuckoo Search; Levy Flights; Makespan Minimization (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
https://ijie.ir/index.php/ijie/article/view/29/33 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bao:ijieis:v:1:y:2021:i:3:p:48-64:id:29

Access Statistics for this article

International Journal of Innovation in Engineering is currently edited by Mohammad Ebrahim Sadeghi

More articles in International Journal of Innovation in Engineering from International Scientific Network (ISNet)
Bibliographic data for series maintained by International Scientific Network (ISNet) ().