Research Article | OPEN ACCESS
Most Satisfactory Camping: Multi-objective Optimization Based on Composite Index
1Yuanxin Lin, 2Yuanbiao Zhang and 3Yujie Liu
1Electrical Information College, Jinan University, Zhuhai 519070, China
2Mathematical Modeling Innovative Practice Base, Packaging Engineering Institute, China and Key Laboratory of Product Packaging and Logistics of Guangdong Higher Education Institutes,
Jinan University, Zhuhai 519070, China
3Electrical Information College, Jinan University, Zhuhai 519070, China
Research Journal of Applied Sciences, Engineering and Technology 2013 17:4399-4405
Received: October 30, 2012 | Accepted: December 17, 2012 | Published: May 01, 2013
Abstract
Given the rise in popularity of river rafting, we need to schedule an optimal mix of trips of varying duration and propulsion to meet the needs of travelers and improve the company’s interests. To provide a wilderness experience for travelers, we should try to reduce the contacts during the traveling. We firstly analyze the traveling process. And one contact (on-river) is counted. We apply step-to-step method to this study. We firstly study this relationship when there is only one kind of travel days. Then we add another kind of travel days to draw the universal rule and finally we derive the relationship when there are many kinds of trips. In order to combine the contacts and company’s interests, we define two satisfaction degree functions by using fuzzy logic. We define a satisfaction degree function to describe the contacts. Then we define another function to describe the company’s interests. Lastly, we define a composite index to combine the two functions by giving them different weight. We base this model on maximizing this composite index and obtain the optimal schedule. When determining the carrying capacity of the river, we take contacts, company’s interests and river’s resources into account. In the same way, we define a satisfaction degree function for river’s resources. We finally define a composite index to combine the three factors by giving them different weights. We base this model on maximizing this composite index and derive the river’s carrying capacity.
Keywords:
Carrying capacity, composite index, contacts, step-to-step method, satisfaction degree,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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