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A Gang Scheduling Computational Paradigm for Container Terminal Logistics with Processor Affinity

Abstract

Existing scheduling and decision solutions to container terminal logistics systems (CTLS) are falling short of peoples' wishes both in theory and in practice. This paper proposes a container terminal gang scheduling computational paradigm (GSCP) for planning and control at container terminals based on computational thinking. GSCP is built on the computing perspective and architecture of multi-processor system-on-chip. GSCP applies principles of …

Authors

Li B; Shen W

Pagination

pp. 1357-1362

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publication Date

October 1, 2015

DOI

10.1109/smc.2015.241

Name of conference

2015 IEEE International Conference on Systems, Man, and Cybernetics