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A Competitive Nature-Inspired Cuckoo Search Algorithm for Solving the Resource Constrained Project Scheduling Problem
ISSN: 2783 - 1906
Publisher: author
A Competitive Nature-Inspired Cuckoo Search Algorithm for Solving the Resource Constrained Project Scheduling Problem
Indexed in
Technology and Engineering
ARTICLE-FACTOR
1.3
Article Basics Score: 3
Article Transparency Score: 3
Article Operation Score: 2
Article Articles Score: 2
Article Accessibility Score: 2
SUBMIT PAPER ASK QUESTION
International Category Code (ICC):
ICC-1802
Publisher: Mohammad Ebrahim Sadeghi
International Journal Address (IAA):
IAA.ZONE/2783102621906
eISSN
:
2783 - 1906
VALID
ISSN Validator
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 sa...
