Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Generation of efficient cargo operation schedule at seaport with the use of multiagent technologies and genetic algorithms. / Vasileva, Olga; Kiyaev, Vladimir.
Proceedings of the 3rd International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’18) - Volume 1. ed. / Ajith Abraham; Vaclav Snasel; Sergey Kovalev; Andrey Sukhanov; Valery Tarassov. Springer Nature, 2019. p. 401-409 (Advances in Intelligent Systems and Computing; Vol. 874).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
}
TY - GEN
T1 - Generation of efficient cargo operation schedule at seaport with the use of multiagent technologies and genetic algorithms
AU - Vasileva, Olga
AU - Kiyaev, Vladimir
N1 - Publisher Copyright: © Springer Nature Switzerland AG 2019. Copyright: Copyright 2019 Elsevier B.V., All rights reserved.
PY - 2019
Y1 - 2019
N2 - Seaport is a complex economic techno - technological facility. In the modern meaning of this concept it is a specially built and equipped enterprise on the coast, designed for sheltering, loading/unloading and servicing of ships. Information support of such object’s operations is a rather difficult information-computational task for many reasons - the main one being the generation of an efficient schedule for loading and unloading operations. For these reasons, there is a need to develop an automated system capable of generating an optimal schedule of loading/unloading in a seaport, taking into account the dynamic effect of external factors on its efficient operation. The approach to scheduling is based on multi-agent technologies and a genetic algorithm for generating a schedule for port operation improving the quality of the obtained schedule. It is supposed to use the data received from different agents and corrected during the interaction of such agents. The scheduling is carried out with the genetic algorithms.
AB - Seaport is a complex economic techno - technological facility. In the modern meaning of this concept it is a specially built and equipped enterprise on the coast, designed for sheltering, loading/unloading and servicing of ships. Information support of such object’s operations is a rather difficult information-computational task for many reasons - the main one being the generation of an efficient schedule for loading and unloading operations. For these reasons, there is a need to develop an automated system capable of generating an optimal schedule of loading/unloading in a seaport, taking into account the dynamic effect of external factors on its efficient operation. The approach to scheduling is based on multi-agent technologies and a genetic algorithm for generating a schedule for port operation improving the quality of the obtained schedule. It is supposed to use the data received from different agents and corrected during the interaction of such agents. The scheduling is carried out with the genetic algorithms.
KW - Genetic algorithms
KW - Multiagent technologies
KW - Seaport work schedule
UR - http://www.scopus.com/inward/record.url?scp=85058548300&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-01818-4_40
DO - 10.1007/978-3-030-01818-4_40
M3 - Conference contribution
AN - SCOPUS:85058548300
SN - 9783030018177
T3 - Advances in Intelligent Systems and Computing
SP - 401
EP - 409
BT - Proceedings of the 3rd International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’18) - Volume 1
A2 - Abraham, Ajith
A2 - Snasel, Vaclav
A2 - Kovalev, Sergey
A2 - Sukhanov, Andrey
A2 - Tarassov, Valery
PB - Springer Nature
T2 - 3rd International Scientific Conference on Intelligent Information Technologies for Industry, IITI 2018
Y2 - 17 September 2018 through 21 September 2018
ER -
ID: 76018337