Air pollution emissions control using shuffled frog leaping algorithm

Tarun Kumar Sharma () and Divya Prakash ()
Additional contact information
Tarun Kumar Sharma: Shobhit University Gangoh
Divya Prakash: Shobhit University Gangoh

International Journal of System Assurance Engineering and Management, 2020, vol. 11, issue 2, No 8, 332-339

Abstract: Abstract Shuffled frog leaping (SFL) algorithm is a recently introduced metaheuristic which mimics the foraging process of frogs. SFL performs exploration as well as exploitation. In SFL algorithm the colony of frogs is divided into several memeplexes. In each memeplexes frog perform independent social cooperative local search and in later stages this information is shared among memeplexes. The process of sharing the information is shuffling process. SFL has been successfully applied to solve various real world optimization problems. In the present study SFL algorithm is implemented on a very interesting and challenging issue of optimization of Air pollution emissions using different control technologies. The nature of the problem is mixed integer linear programming problem. To further validate the efficacy of the algorithm shipping problem is also solved. The simulated results demonstrate the effectiveness of SFL algorithm.

Keywords: Optimization; Air pollution; SFLA; Metaheuristics; MILP (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s13198-019-00860-3 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:11:y:2020:i:2:d:10.1007_s13198-019-00860-3

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

DOI: 10.1007/s13198-019-00860-3

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 ().