Selection of AS/RS Scheduling Rules Based on Genetic Algorithm
- Resource Type
- Conference
- Authors
- Wang, Wen; Fu, Weiping; Ma, Mingyun; Li, Dexin; Yang, Shiqiang
- Source
- 2007 IEEE International Conference on Automation and Logistics Automation and Logistics, 2007 IEEE International Conference on. :536-540 Aug, 2007
- Subject
- Robotics and Control Systems
Computing and Processing
Transportation
Signal Processing and Analysis
Genetic algorithms
Job shop scheduling
Processor scheduling
Single machine scheduling
Logistics
Biological cells
Optimization methods
Buffer storage
Automation
Machinery
AS/RS
scheduling rules
Genetic Algorithm
Analytic Hierarchy Process
- Language
- ISSN
- 2161-8151
2161-816X
In order to obtain the better scheduling rules in specific environment, a solving method based on genetic algorithm (GA) is proposed. In this method, each chromosome of GA represents a set of rules which can be used to describe concrete scheduling projects and each is coded by piecewise integer coding. In order to get the adaptive function value of every chromosome, a decision optimization method integrating Analytic Hierarchy Process (AHP) is used. The simulation results indicate that this method can be well used to optimize scheduling rules in loading and unloading scheduling problems of Automated Storage & Retrieval System (namely AS/RS).