A genetic algorithm for the integrated scheduling model of a container-handling system in a maritime terminal

Author(s):  
F Fereidoonian ◽  
A Mirzazadeh
2011 ◽  
Vol 80-81 ◽  
pp. 1335-1339 ◽  
Author(s):  
You Long Lv ◽  
Gong Zhang ◽  
Jie Zhang ◽  
Yi Jun Dong

Job scheduling and AGV scheduling in FMS are regarded as two independent problems by most researchers. Their isolation ignores AGV’s use conflicts in the job scheduling and leads to low average equipment utilization. We point out the necessity for the job scheduling to integrate with AGV scheduling through analyzing scheduling problem of a specific type of FMS with single AGV and single buffer area. Then a corresponding mathematic model for integrated scheduling is presented based on the problem description and constraints for scheduling. A specific FMS is adopted to validate this integrated scheduling model. Based on data from this FMS, the model is performed through genetic algorithm with appropriate parameters. And job’s processing sequences as well as AGV’s moving path are obtained from the optimal gene order. The experiment result of this scheduling model adopting genetic algorithm shows good computing efficiency and equipment utilization.


2015 ◽  
Vol 48 (3) ◽  
pp. 397-414 ◽  
Author(s):  
Chen Li ◽  
Zhiqiang Lu ◽  
Xiaole Han ◽  
Yuejun Zhang ◽  
Li Wang

JOURNAL ASRO ◽  
2019 ◽  
Vol 10 (2) ◽  
pp. 1
Author(s):  
Aris Tri Ika R ◽  
Benny Sukandari ◽  
Okol Sri Suharyo ◽  
Ayip Rivai Prabowo

Navy as a marine core in the defense force is responsible for providing security for realizing stability and security of the country.  At any time there was an invasion of other countries past through sea,  TNI AL must be able to break the enemy resistance line through a sea operation to obtain the sea superiority. But this time the endurance of Striking force Unit at only 7-10 days and required replenishment at sea to maximize the presence in the theater of operations to meet a demand of the logistics: HSD, Freshwater, Lubricating Oil, foodstuffs and amonisi. For the optimal replenishment at sea required scheduling model supporting unit to get the minimum time striking force unit was on node rendezvous. Replenishment at sea scheduling model for striking force unit refers to the problems Vehicle routing problem with time windows using Genetic Algorithms. These wheelbase used is roulette for reproduction, crossover, and mutation of genes. Genetic algorithms have obtained optimum results in the shortest route provisioning scenario uses one supporting unit with a total time of 6.89 days. In scenario two supporting unit with minimal time is 4.97 days. In the scenario, the changing of the node replenishment Genetic Algorithm also get optimal time is 4.97 days with two supporting units. Research continued by changing the parameters of the population, the probability of crossover and mutation that can affect the performance of the genetic algorithm to obtain the solution. Keywords: Genetic Algorithm, Model Scheduling, Striking Force unit


2013 ◽  
Vol 12 (20) ◽  
pp. 5595-5600
Author(s):  
Kang Kai ◽  
Zhang Jing ◽  
Shang Cui-Juan ◽  
Yang Xiao-Xu

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