Implementation and comparison of algorithms for multi-objective optimization based on genetic algorithms applied to the management of an automated warehouse

Gianluca Nastasi (), Valentina Colla (), Silvia Cateni () and Simone Campigli ()
Additional contact information
Gianluca Nastasi: Scuola Superiore Sant’Anna
Valentina Colla: Scuola Superiore Sant’Anna
Silvia Cateni: Scuola Superiore Sant’Anna
Simone Campigli: Roboris s.r.l.

Journal of Intelligent Manufacturing, 2018, vol. 29, issue 7, No 9, 1545-1557

Abstract: Abstract The paper presents strategies optimization for an existing automated warehouse located in a steelmaking industry. Genetic algorithms are applied to this purpose and three different popular algorithms capable to deal with multi-objective optimization are compared. The three algorithms, namely the Niched Pareto Genetic Algorithm, the Non-dominated Sorting Genetic Algorithm 2 and the Strength Pareto Genetic Algorithm 2, are described in details and the achieved results are widely discussed; moreover several statistical tests have been applied in order to evaluate the statistical significance of the obtained results.

Keywords: Multi-objective optimization; Evolutionary algorithms; Niched Pareto Genetic Algorithm; Non-dominated Sorting Genetic Algorithm 2; Strength Pareto Evolutionary Algorithm 2; Warehouse (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://link.springer.com/10.1007/s10845-016-1198-x 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:joinma:v:29:y:2018:i:7:d:10.1007_s10845-016-1198-x

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10845

DOI: 10.1007/s10845-016-1198-x

Access Statistics for this article

Journal of Intelligent Manufacturing is currently edited by Andrew Kusiak

More articles in Journal of Intelligent Manufacturing from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().