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2012 (Vol. 4, Issue: 19)
Article Information:

River Trip Optimization Scheduling Based on Artificial Intelligence Simulation and the Bee-Swarm Genetic Algorithm

Zhan Wenting, Zhang Yuanbiao, Luan Weixia, Shen Zhongjie, Zhong Wenqi and PanYiming
Corresponding Author:  zhan wenting 

Key words:  Agent-based modeling, BSGA, human-environment interactions simulation, individual-based models, , ,
Vol. 4 , (19): 3801-3810
Submitted Accepted Published
April 08, 2012 May 10, 2012 October 01, 2012
Abstract:

The study on the impacts of human activities on natural resources is of critical importance in constructing effective management strategies in rafting trips. The Camping Schedule Intelligent Generator (CSIG), the computer program developed in the study, which successfully models the complex, dynamic human-environment interactions in the rafting river. This generator includes two parts: artificial intelligence simulation and BSGA-based Optimization. It employs artificial intelligence in creating an individual-based modeling system. With the help of BSGA, this simulation system successfully models the recreatinal rafting behavior and captures the decision making of rafting trips as they responsively seek to optimize their functions. After modeling, the paper applys CSIG to the Colorado River, which is a famous rafting river and find that: the numbers of short motor-trips (6-8 day) and long-oar trips (15-18 day) are obviously larger than the other two. Finally, the study analyzes the sensitivity of the model and finds that when the water velocity varies in the actual range.
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  Cite this Reference:
Zhan Wenting, Zhang Yuanbiao, Luan Weixia, Shen Zhongjie, Zhong Wenqi and PanYiming, 2012. River Trip Optimization Scheduling Based on Artificial Intelligence Simulation and the Bee-Swarm Genetic Algorithm.  Research Journal of Applied Sciences, Engineering and Technology, 4(19): 3801-3810.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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