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Updated: Jun 27, 2026

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

Regional optimization model for locating supplemental recycling depots.

Hung-Yueh Lin¹, Guan-Hwa Chen

¹Department of Environmental Engineering and Management, Chaoyang University of Technology, 168 Ji-Fong E. Road, Wufong Township, Taichung County, 41349 Taiwan, ROC. hylin@cyut.edu.tw

Waste Management (New York, N.Y.)

|December 19, 2008

Summary

This study developed an optimization model to identify areas needing more recycling depots in Taiwan. The model helps local authorities integrate private recycling facilities for better public access and waste management.

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Last Updated: Jun 27, 2026

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

Area of Science:

Environmental Science
Operations Research
Urban Planning

Background:

Taiwan mandates recycling containers in retail stores for six recyclable material classes.
Integrating private recycling facilities with public depots can enhance residential recycling access.

Purpose of the Study:

To develop an optimization model for identifying regions requiring additional public recycling depots.
To improve the integration of private sector recycling facilities with public infrastructure.
To enhance spatial accessibility and efficiency in residential recycling processes.

Main Methods:

An optimization model using complete enumeration of study area cells.
Application of spatial accessibility, population loading, and integration efficiency indicators.
Case study in Central Taiwan to demonstrate model application.

Main Results:

Identification of regions lacking sufficient recycling points.
Prioritization of new depot locations based on population density.
Evaluation of establishing multi-class material recycling centers.

Conclusions:

The developed model provides data-driven insights for decision-makers on prioritizing new recycling facility installations.
The model facilitates better integration of public and private recycling efforts.
Optimized placement of recycling depots can significantly improve waste management accessibility.