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Abstract
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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
Submitted: April 08, 2012
Accepted: May 10, 2012
Published: October 01, 2012 |
Abstract:
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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.
Key words: Agent-based modeling, BSGA, human-environment interactions simulation, individual-based models, , ,
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Cite this Reference:
Zhan Wenting, Zhang Yuanbiao, Luan Weixia, Shen Zhongjie, Zhong Wenqi and PanYiming, . River Trip Optimization Scheduling Based on Artificial Intelligence Simulation and the Bee-Swarm Genetic Algorithm. Research Journal of Applied Sciences, Engineering and Technology, (19): 3801-3810.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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