Multi objective optimization of coordinated scheduling of cranes and vehicles at container terminals
type: Item
instance of: scholarly article
title: Multi objective optimization of coordinated scheduling of cranes and vehicles at container terminals
zbMATH Open document ID: 1299.90233
DOI: 10.1155/2013/746781
author: Seyed Mahdi Homayouni
author: Sai Hong Tang
published in: Mathematical Problems in Engineering
publication date: 2014-11-24T00:00:00Z
review text: Summary: According to previous researches, automated guided vehicles and quay cranes in container terminals have a high potential synergy. In this paper, a mixed integer programming model is formulated to optimize the coordinated scheduling of cranes and vehicles in container terminals. Objectives of the model are to minimize total traveling time of the vehicles and delays in tasks of cranes. A genetic algorithm is developed to solve the problem in reasonable computational time. The most appropriate control parameters for the proposed genetic algorithm are investigated in a medium size numerical test case. It is shown that balanced crossover and mutation rates have the best performance in finding a near optimal solution for the problem. Then, ten small size test cases are solved to evaluate the performance of the proposed optimization methods. The results show the applicability of the genetic algorithm since it can find near optimal solutions, precisely and accurately.
Mathematics Subject Classification ID: 90B90
Mathematics Subject Classification ID: 90C90
Mathematics Subject Classification ID: 90B35
Mathematics Subject Classification ID: 90C29
Mathematics Subject Classification ID: 90C59
zbMATH DE Number: 6372624
Wikidata QID: Q59028869
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2013/746781
OpenAlex ID: W1968490382
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description: scientific article; zbMATH DE number 6372624