A clonal selection algorithm for the container stacking problem

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dc.contributor.authorCarraro L.A.
dc.contributor.authorDe Castro L.N.
dc.date.accessioned2024-03-13T01:09:36Z
dc.date.available2024-03-13T01:09:36Z
dc.date.issued2011
dc.description.abstractDue to increasing demand, container terminals face the challenges of increasing its service capacity and minimize the time of ships loading and unloading. The assignment of storage locations for reshuffled containers is a problem to the efficiency of container terminals operations, as a wrong assignment may result in several future reshuffles. This paper proposes a meta-heuristic based on the Clonal Selection Algorithm to minimize reshuffle when retrieving containers from a stack. The model competitiveness in accuracy and time are established by extensive numerical experiments comparing with an existing Integer Program model. The preliminary results obtained here suggest the proposed model is a promising optimization tool for the container stacking problem. © 2011 IEEE.
dc.description.firstpage569
dc.description.lastpage574
dc.identifier.doi10.1109/NaBIC.2011.6089651
dc.identifier.urihttps://dspace.mackenzie.br/handle/10899/36895
dc.relation.ispartofProceedings of the 2011 3rd World Congress on Nature and Biologically Inspired Computing, NaBIC 2011
dc.rightsAcesso Restrito
dc.subject.otherlanguageartificial immune system
dc.subject.otherlanguageclonal selection
dc.subject.otherlanguageContainer terminal
dc.subject.otherlanguageoptimization
dc.subject.otherlanguageplanning
dc.titleA clonal selection algorithm for the container stacking problem
dc.typeArtigo de evento
local.scopus.citations2
local.scopus.eid2-s2.0-83755228635
local.scopus.subjectArtificial Immune System
local.scopus.subjectClonal selection
local.scopus.subjectClonal selection algorithms
local.scopus.subjectContainer terminal
local.scopus.subjectInteger program
local.scopus.subjectLoading and unloading
local.scopus.subjectMetaheuristic
local.scopus.subjectNumerical experiments
local.scopus.subjectOptimization tools
local.scopus.subjectService capacity
local.scopus.subjectStorage location
local.scopus.updated2024-05-01
local.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=83755228635&origin=inward
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