Task Scheduling Model Design Using Hybrid Genetic Algorithm

2006 ◽  
Author(s):  
Shijue Zheng ◽  
Wanneng Shu ◽  
Shangping Dai
Keyword(s):  
Genetic Algorithm ◽  
Task Scheduling ◽  
Hybrid Genetic Algorithm ◽  
Model Design ◽  
Scheduling Model

An Automated Task Scheduling Model using Non-Dominated Sorting Genetic Algorithm II for Fog-Cloud Systems

2020 ◽  
pp. 1-1
Author(s):  
Ismail M. Ali ◽  
Karam M. Sallam ◽  
Nour Moustafa ◽  
Ripon Chakraborty ◽  
Michael J. Ryan ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Task Scheduling ◽  
Cloud Systems ◽  
Scheduling Model

Vehicle Scheduling Model for Fresh Agriculture Products Pickup with Uncertain Demands

2014 ◽  
Vol 974 ◽  
pp. 282-287
Author(s):  
Li Xia Rong ◽  
Huan Bin Sha
Keyword(s):  
Genetic Algorithm ◽  
Hybrid Genetic Algorithm ◽  
Optimal Solution ◽  
Vehicle Scheduling ◽  
Uncertain Measure ◽  
Uncertainty Distribution ◽  
Uncertain Variables ◽  
Scheduling Model ◽  
Agriculture Products ◽  
The Impact

A chance-constrained vehicle scheduling model for fresh agriculture products pickup with uncertain demands is proposed in this paper. The uncertain measure that vehicle loading will not exceed capacity constraint is presented in the model because of the uncertainty of demands. Based on uncertainty theory, when the demands are some special uncertain variables with uncertainty distribution such as linear, zigzag and normal uncertain distribution etc., the model can be transformed to a deterministic form and solved by genetic algorithm. When the demands are general uncertain variables, a hybrid genetic algorithm with uncertain simulation is presented to obtain the optimal solution. At last, to illustrate the effective of the model and algorithm, and to analyze the impact of parameters on model solution, an experiment is provided.

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