Genetic algorithms to schedule container transfers at multimodal terminals

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Genetic algorithms to schedule container transfers at multimodal terminals

Peter Preston - Nama Orang; Erhan Kozan - Nama Orang;

Optimising the container transfer schedule at the multimodal terminals is known to be NP-hard, which implies that the best solution becomes computationally infeasible as problem sizes increase. Genetic Algorithm (GA) techniques are used to reduce container handling/transfer times and ships' time at the port by speeding up handling operations. The GA is chosen due to the relatively good results that have been reported even with the simplest GA implementations to obtain near-optimal solutions in reasonable time. Also discussed, is the application of the model to assess the consequences of increased scheduled throughput time as well as dierent strategies such as the alternative plant layouts, storage policies and number of yard machines. A real data set used for the solution and subsequent sensitivity analysis is applied to the alternative plant layouts, storage policies and number of yard machines.

Ketersediaan

IPC Corporate University Library ATC LO PRE g C.1

ATC1600433

Tersedia

Informasi Detail

Judul Seri: -
No. Panggil: ATC LO PRE g
Penerbit: Australia : Elsevier., 1999
Deskripsi Fisik: 19 p.
Bahasa: English
ISBN/ISSN: -
Klasifikasi: LO
Tipe Isi: -
Tipe Media: -
Tipe Pembawa: online resource
Edisi: -
Subjek: genetic algorithm
Multimodal terminals
Info Detail Spesifik: -
Pernyataan Tanggungjawab: Peter Preston

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