A novel cuckoo search technique for solving discrete optimization problems

Ashish Jain () and Narendra S. Chaudhari ()
Additional contact information
Ashish Jain: Indian Institute of Technology Indore
Narendra S. Chaudhari: Indian Institute of Technology Indore

International Journal of System Assurance Engineering and Management, 2018, vol. 9, issue 4, No 20, 972-986

Abstract: Abstract During the past decade, swarm intelligence (SI) techniques have received considerable recognition among researchers to solve continuous optimization problems. However, only few significant works have been reported in the literature to solve discrete optimization problems using SI techniques. Therefore, this paper proposes an improved SI technique, namely, discrete cuckoo search. As an application, the proposed technique is employed to solve a transposition cipher, and then the efficiency of the proposed technique is compared to the existing genetic algorithms. The obtained results indicate that the performance of the proposed technique is superior to genetic algorithms (as compared to genetic algorithm, cuckoo search is roughly 1.5 times faster and recovers 12% more number of key elements). Hence, the proposed technique can be utilized to solve various discrete optimization problems, e.g., for optimal placement of phaser measurement units in a power system, traveling salesman problem, graph coloring problem etc.

Keywords: Cuckoo search; Genetic algorithm; Discrete optimization; Automated cryptanalysis; Classical ciphers (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s13198-018-0696-y Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:spr:ijsaem:v:9:y:2018:i:4:d:10.1007_s13198-018-0696-y

Ordering information: This journal article can be ordered from
http://www.springer.com/engineering/journal/13198

DOI: 10.1007/s13198-018-0696-y

Access Statistics for this article

International Journal of System Assurance Engineering and Management is currently edited by P.K. Kapur, A.K. Verma and U. Kumar

More articles in International Journal of System Assurance Engineering and Management from Springer, The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().