Truck Loading Schedule Optimization Using Genetic Algorithm for Yard Management

2015 ◽  
pp. 536-548 ◽  
Author(s):  
Tadeusz Cekała ◽  
Zbigniew Telec ◽  
Bogdan Trawiński
Keyword(s):  
Genetic Algorithm ◽  
Schedule Optimization ◽  
Truck Loading

Inner Random Restart Genetic Algorithm for Practical Delivery Schedule Optimization

2011 ◽  
Vol 131 (8) ◽  
pp. 1485-1494
Author(s):  
Yoshitaka Sakurai ◽  
Kouhei Takada ◽  
Takashi Onoyama ◽  
Natsuki Tsukamoto ◽  
Setsuo Tsuruta
Keyword(s):  
Genetic Algorithm ◽  
Schedule Optimization ◽  
Random Restart

Schedule Optimization of Imaging Missions for Multiple Satellites and Ground Stations Using Genetic Algorithm

2018 ◽  
Vol 19 (1) ◽  
pp. 139-152 ◽  
Author(s):  
Junghyun Lee ◽  
Heewon Kim ◽  
Hyun Chung ◽  
Haedong Kim ◽  
Sujin Choi ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Schedule Optimization

scholarly journals Application of Genetic Algorithm in Time-Based Wireless Sensor Network Schedule Optimization

2021 ◽  
Vol 31.2 (149) ◽  
pp. 29-34
Keyword(s):  
Genetic Algorithm ◽  
Sensor Network ◽  
Fitness Function ◽  
Optimal Solution ◽  
Complex Problem ◽  
Wireless Sensor ◽  
Network Scheduling ◽  
Schedule Optimization ◽  
Wide Range ◽  
Network Schedule

In recent years, wireless sensor networks (WSN) have been particularly interested, studied and applied very strongly. A sensor network is generally limited in resources and energy, which greatly restrict its applicability. Sensor network optimization in practice is a very diverse with a wide range of applications, whereas sensor network scheduling is important in lowering energy consumption and maximizing network lifetime. However, optimization of sensor network schedule a very complex problem with many constraints that is not trivial to solve by analytical methods. This article discusses a heuristical approach using a genetic algorithm to find an optimal solution for network scheduling. The evaluation of fitness function, as well as selection with crossover and mutation operations help to evolve individuals in the population through generations in an optimal direction.

Application of genetic algorithm for hemodialysis schedule optimization

2017 ◽  
Vol 145 ◽  
pp. 35-43 ◽  
Author(s):  
Jin Woo Choi ◽  
Hajeong Lee ◽  
Jung Chan Lee ◽  
Saram Lee ◽  
Yon Su Kim ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Schedule Optimization

The ground state energy of the ±J spin glass from the genetic algorithm

1994 ◽  
Vol 4 (9) ◽  
pp. 1281-1285 ◽  
Author(s):  
P. Sutton ◽  
D. L. Hunter ◽  
N. Jan
Keyword(s):  
Genetic Algorithm ◽  
Spin Glass ◽  
Ground State Energy ◽  
Ground State ◽  
State Energy
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